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<script lang="ts"> |
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import type { ModelData } from "@huggingface/tasks"; |
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import { InferenceDisplayability } from "@huggingface/tasks"; |
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import InferenceWidget from "$lib/components/InferenceWidget/InferenceWidget.svelte"; |
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import ModeSwitcher from "$lib/components/DemoThemeSwitcher/DemoThemeSwitcher.svelte"; |
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import { onMount } from "svelte"; |
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import { browser } from "$app/environment"; |
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export let data; |
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let apiToken = data.session?.access_token || ""; |
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function storeHFToken() { |
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window.localStorage.setItem("hf_token", apiToken); |
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} |
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const isIframe = browser && window.self !== window.parent; |
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onMount(() => { |
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if (!data.supportsOAuth) { |
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const token = window.localStorage.getItem("hf_token"); |
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if (token) { |
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apiToken = token; |
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} |
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} |
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}); |
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const models: ModelData[] = [ |
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{ |
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id: "mistralai/Mistral-7B-Instruct-v0.2", |
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pipeline_tag: "text-generation", |
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tags: ["conversational"], |
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inference: InferenceDisplayability.Yes, |
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config: { |
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architectures: ["MistralForCausalLM"], |
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model_type: "mistral", |
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tokenizer_config: { |
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chat_template: |
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"{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", |
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use_default_system_prompt: false, |
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bos_token: "<s>", |
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eos_token: "</s>", |
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unk_token: "<unk>", |
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pad_token: null, |
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}, |
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}, |
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widgetData: [ |
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{ text: "This is a text-only example", example_title: "Text only" }, |
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{ |
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messages: [{ content: "Please exlain QCD in very few words", role: "user" }], |
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example_title: "Chat messages", |
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}, |
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{ |
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messages: [{ content: "Please exlain QCD in very few words", role: "user" }], |
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output: { |
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text: "QCD is the physics of strong force and small particles.", |
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}, |
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example_title: "Chat messages with Output", |
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}, |
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{ |
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text: "Explain QCD in one short sentence.", |
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output: { |
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text: "QCD is the physics of strong force and small particles.", |
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}, |
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example_title: "Text only with Output", |
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}, |
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{ |
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example_title: "Invalid example - unsupported role", |
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messages: [ |
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{ role: "system", content: "This will fail because of the chat template" }, |
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{ role: "user", content: "What's your favorite condiment?" }, |
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], |
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}, |
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], |
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}, |
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{ |
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id: "microsoft/phi-2", |
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pipeline_tag: "text-generation", |
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inference: InferenceDisplayability.Yes, |
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config: { |
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architectures: ["PhiForCausalLM"], |
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model_type: "phi", |
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auto_map: { |
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AutoConfig: "configuration_phi.PhiConfig", |
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AutoModelForCausalLM: "modeling_phi.PhiForCausalLM", |
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}, |
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tokenizer_config: { |
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bos_token: "<|endoftext|>", |
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eos_token: "<|endoftext|>", |
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unk_token: "<|endoftext|>", |
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}, |
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}, |
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}, |
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{ |
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id: "openai/clip-vit-base-patch16", |
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pipeline_tag: "zero-shot-image-classification", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "lllyasviel/sd-controlnet-canny", |
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pipeline_tag: "image-to-image", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "ydshieh/vit-gpt2-coco-en", |
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pipeline_tag: "image-to-text", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "impira/layoutlm-document-qa", |
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pipeline_tag: "document-question-answering", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "What is the invoice number?", |
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src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/invoice.png", |
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}, |
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{ |
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text: "What is the purchase amount?", |
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src: "https://huggingface.co/spaces/impira/docquery/resolve/2359223c1837a7587402bda0f2643382a6eefeab/contract.jpeg", |
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}, |
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], |
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}, |
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{ |
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id: "skops/hf_hub_example-bdc26c1f-7e82-42eb-9657-0318315f2df0", |
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pipeline_tag: "tabular-classification", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "dandelin/vilt-b32-finetuned-vqa", |
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pipeline_tag: "visual-question-answering", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "What animal is it?", |
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src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", |
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}, |
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{ |
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text: "Where is it?", |
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src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", |
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}, |
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], |
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}, |
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{ |
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id: "roberta-large-mnli", |
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pipeline_tag: "text-classification", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "I like you. I love you.", |
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group: "Contradiction", |
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example_title: "Foobar", |
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output: [ |
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{ label: "Hello", score: 0.8 }, |
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{ label: "Bye", score: 0.2 }, |
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], |
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}, |
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{ text: "This is good. This is bad.", group: "Contradiction" }, |
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{ text: "He runs fast. He runs slow", group: "Contradiction" }, |
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{ text: "I like you", group: "Neutral" }, |
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{ text: "This is good", group: "Neutral" }, |
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{ text: "He runs fast", group: "Neutral" }, |
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], |
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}, |
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{ |
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id: "edbeeching/decision-transformer-gym-hopper-medium-replay", |
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pipeline_tag: "reinforcement-learning", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "sgugger/resnet50d", |
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pipeline_tag: "image-classification", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", |
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example_title: "Tiger", |
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}, |
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{ |
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src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg", |
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example_title: "Teapot", |
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output: [ |
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{ |
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label: "teapot: pot for brewing tea; usually has a spout and handle", |
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score: 0.8853782415390015, |
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}, |
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{ |
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label: "coffeepot: tall pot in which coffee is brewed", |
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score: 0.016733085736632347, |
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}, |
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{ |
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label: "water jug: a jug that holds water", |
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score: 0.0019129429711028934, |
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}, |
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{ |
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label: "cup: a punch served in a pitcher instead of a punch bowl", |
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score: 0.0009115593857131898, |
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}, |
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{ |
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label: "strainer: a filter to retain larger pieces while smaller pieces and liquids pass through", |
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score: 0.0007022042409516871, |
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}, |
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], |
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}, |
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{ |
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src: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg", |
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example_title: "Palace", |
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}, |
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], |
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}, |
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{ |
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id: "facebook/detr-resnet-50", |
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pipeline_tag: "object-detection", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "facebook/detr-resnet-50-panoptic", |
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pipeline_tag: "image-segmentation", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "julien-c/distilbert-feature-extraction", |
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pipeline_tag: "feature-extraction", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [{ text: "Hello world" }], |
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}, |
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{ |
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id: "sentence-transformers/distilbert-base-nli-stsb-mean-tokens", |
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pipeline_tag: "feature-extraction", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [{ text: "Hello, world" }], |
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}, |
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{ |
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id: "dbmdz/bert-large-cased-finetuned-conll03-english", |
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pipeline_tag: "token-classification", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ text: "My name is Wolfgang and I live in Berlin" }, |
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{ text: "My name is Sarah and I live in London" }, |
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{ text: "My name is Clara and I live in Berkeley, California." }, |
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], |
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}, |
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{ |
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id: "distilbert-base-uncased-distilled-squad", |
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pipeline_tag: "question-answering", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "Which name is also used to describe the Amazon rainforest in English?", |
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context: `The Amazon rainforest (Portuguese: Floresta Amazônica or Amazônia; Spanish: Selva Amazónica, Amazonía or usually Amazonia; French: Forêt amazonienne; Dutch: Amazoneregenwoud), also known in English as Amazonia or the Amazon Jungle, is a moist broadleaf forest that covers most of the Amazon basin of South America. This basin encompasses 7,000,000 square kilometres (2,700,000 sq mi), of which 5,500,000 square kilometres (2,100,000 sq mi) are covered by the rainforest. This region includes territory belonging to nine nations. The majority of the forest is contained within Brazil, with 60% of the rainforest, followed by Peru with 13%, Colombia with 10%, and with minor amounts in Venezuela, Ecuador, Bolivia, Guyana, Suriname and French Guiana. States or departments in four nations contain "Amazonas" in their names. The Amazon represents over half of the planet's remaining rainforests, and comprises the largest and most biodiverse tract of tropical rainforest in the world, with an estimated 390 billion individual trees divided into 16,000 species.`, |
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}, |
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], |
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}, |
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{ |
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id: "t5-base", |
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pipeline_tag: "translation", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [{ text: "My name is Wolfgang and I live in Berlin" }], |
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}, |
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{ |
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id: "facebook/bart-large-cnn", |
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pipeline_tag: "summarization", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest man-made structure in the world, a title it held for 41 years until the Chrysler Building in New York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second tallest free-standing structure in France after the Millau Viaduct.", |
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}, |
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], |
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}, |
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{ |
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id: "mistralai/Mistral-7B-v0.1", |
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pipeline_tag: "text-generation", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ text: "My name is Julien and I like to", output: { text: " code cool products with my friends." } }, |
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{ text: "My name is Thomas and my main" }, |
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{ text: "My name is Mariama, my favorite" }, |
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{ text: "My name is Clara and I am" }, |
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{ text: "Once upon a time," }, |
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], |
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}, |
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{ |
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id: "bigscience/bloom", |
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pipeline_tag: "text-generation", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ text: "My name is Julien and I like to", group: "English" }, |
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{ text: "My name is Thomas and my main", group: "English" }, |
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{ text: "My name is Mariama, my favorite", group: "French" }, |
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{ text: "My name is Clara and I am", group: "French" }, |
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{ text: "Once upon a time,", group: "French" }, |
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], |
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}, |
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{ |
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id: "distilroberta-base", |
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pipeline_tag: "fill-mask", |
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mask_token: "<mask>", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [{ text: "Paris is the <mask> of France." }, { text: "The goal of life is <mask>." }], |
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}, |
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{ |
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id: "facebook/bart-large-mnli", |
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pipeline_tag: "zero-shot-classification", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "I have a problem with my iphone that needs to be resolved asap!!", |
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candidate_labels: "urgent, not urgent, phone, tablet, computer", |
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multi_class: true, |
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}, |
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], |
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}, |
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{ |
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id: "google/tapas-base-finetuned-wtq", |
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pipeline_tag: "table-question-answering", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "How many stars does the transformers repository have?", |
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table: { |
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Repository: ["Transformers", "Datasets", "Tokenizers"], |
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Stars: [36542, 4512, 3934], |
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Contributors: [651, 77, 34], |
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"Programming language": ["Python", "Python", "Rust, Python and NodeJS"], |
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}, |
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}, |
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], |
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}, |
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{ |
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id: "microsoft/tapex-base-finetuned-wtq", |
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pipeline_tag: "table-question-answering", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "How many stars does the transformers repository have?", |
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table: { |
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Repository: ["Transformers", "Datasets", "Tokenizers"], |
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Stars: [36542, 4512, 3934], |
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Contributors: [651, 77, 34], |
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"Programming language": ["Python", "Python", "Rust, Python and NodeJS"], |
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}, |
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}, |
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], |
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}, |
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{ |
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id: "julien-c/wine-quality", |
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pipeline_tag: "tabular-classification", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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structured_data: { |
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fixed_acidity: [7.4, 7.8, 10.3], |
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volatile_acidity: [0.7, 0.88, 0.32], |
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citric_acid: [0.0, 0.0, 0.45], |
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residual_sugar: [1.9, 2.6, 6.4], |
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chlorides: [0.076, 0.098, 0.073], |
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free_sulfur_dioxide: [11.0, 25.0, 5.0], |
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total_sulfur_dioxide: [34.0, 67.0, 13.0], |
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density: [0.9978, 0.9968, 0.9976], |
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pH: [3.51, 3.2, 3.23], |
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sulphates: [0.56, 0.68, 0.82], |
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alcohol: [9.4, 9.8, 12.6], |
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}, |
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}, |
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], |
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}, |
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{ |
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id: "bigscience/T0pp", |
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pipeline_tag: "text2text-generation", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "facebook/blenderbot-400M-distill", |
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pipeline_tag: "text2text-generation", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [{ text: "Hey my name is Julien! How are you?" }], |
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}, |
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{ |
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id: "osanseviero/BigGAN-deep-128", |
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pipeline_tag: "text-to-image", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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text: "a tiger", |
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output: { |
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url: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", |
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}, |
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}, |
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], |
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}, |
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{ |
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id: "julien-c/kan-bayashi_csmsc_tacotron2", |
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pipeline_tag: "text-to-speech", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [{ text: "请您说得慢些好吗" }], |
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}, |
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{ |
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id: "superb/wav2vec2-base-superb-sid", |
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pipeline_tag: "audio-classification", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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example_title: "Librispeech sample 1", |
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src: "https://cdn-media.huggingface.co/speech_samples/sample1.flac", |
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output: [ |
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{ |
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score: 1, |
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label: "id10003", |
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}, |
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{ |
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score: 3.958137817505758e-9, |
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label: "id10912", |
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}, |
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{ |
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score: 2.8285052078302897e-9, |
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label: "id11089", |
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}, |
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{ |
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score: 2.4077480009765395e-9, |
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label: "id10017", |
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}, |
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{ |
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score: 1.3356071804082603e-9, |
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label: "id10045", |
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}, |
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], |
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}, |
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], |
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}, |
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{ |
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id: "julien-c/mini_an4_asr_train_raw_bpe_valid", |
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pipeline_tag: "automatic-speech-recognition", |
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inference: InferenceDisplayability.Yes, |
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}, |
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{ |
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id: "facebook/wav2vec2-base-960h", |
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pipeline_tag: "automatic-speech-recognition", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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example_title: "Librispeech sample 1", |
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src: "https://cdn-media.huggingface.co/speech_samples/sample1.flac", |
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output: { |
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text: "GOING ALONG SLUSHY COUNTRY ROADS AND SPEAKING TO DAMP AUDIENCES IN DRAUGHTY SCHOOL ROOMS DAY AFTER DAY FOR A FORTNIGHT HE'LL HAVE TO PUT IN AN APPEARANCE AT SOME PLACE OF WORSHIP ON SUNDAY MORNING AND HE CAN COME TO US IMMEDIATELY AFTERWARDS", |
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}, |
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}, |
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], |
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}, |
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{ |
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id: "facebook/wav2vec2-large-xlsr-53-french", |
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pipeline_tag: "automatic-speech-recognition", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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example_title: "Librispeech sample 1", |
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src: "https://cdn-media.huggingface.co/speech_samples/sample1.flac", |
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}, |
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], |
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}, |
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{ |
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id: "manandey/wav2vec2-large-xlsr-mongolian", |
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pipeline_tag: "automatic-speech-recognition", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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example_title: "Librispeech sample 1", |
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src: "https://cdn-media.huggingface.co/speech_samples/sample1.flac", |
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}, |
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], |
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}, |
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{ |
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id: "osanseviero/full-sentence-distillroberta2", |
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pipeline_tag: "sentence-similarity", |
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inference: InferenceDisplayability.Yes, |
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widgetData: [ |
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{ |
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source_sentence: "That is a happy person", |
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sentences: ["That is a happy dog", "That is a very happy person", "Today is a sunny day"], |
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}, |
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], |
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}, |
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{ |
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id: "speechbrain/mtl-mimic-voicebank", |
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private: false, |
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pipeline_tag: "audio-to-audio", |
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inference: InferenceDisplayability.Yes, |
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tags: ["speech-enhancement"], |
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widgetData: [], |
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}, |
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{ |
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id: "speechbrain/sepformer-wham", |
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private: false, |
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pipeline_tag: "audio-to-audio", |
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inference: InferenceDisplayability.Yes, |
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tags: ["audio-source-separation"], |
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widgetData: [], |
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}, |
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{ |
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id: "julien-c/DPRNNTasNet-ks16_WHAM_sepclean", |
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private: false, |
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pipeline_tag: "audio-to-audio", |
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inference: InferenceDisplayability.Yes, |
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tags: ["audio-source-separation"], |
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widgetData: [], |
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}, |
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]; |
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|
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const modelsDisabled: ModelData[] = [ |
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{ |
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id: "gpt2", |
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pipeline_tag: undefined, |
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inference: InferenceDisplayability.PipelineNotDetected, |
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}, |
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{ |
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id: "gpt2", |
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pipeline_tag: "text-generation", |
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inference: InferenceDisplayability.ExplicitOptOut, |
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}, |
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{ |
|
id: "gpt2", |
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pipeline_tag: "text-generation", |
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inference: InferenceDisplayability.LibraryNotDetected, |
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}, |
|
{ |
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id: "gpt2", |
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pipeline_tag: "text-generation", |
|
inference: InferenceDisplayability.PipelineLibraryPairNotSupported, |
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}, |
|
{ |
|
id: "gpt2", |
|
pipeline_tag: "text-generation", |
|
inference: InferenceDisplayability.PipelineNotDetected, |
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}, |
|
{ |
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id: "Phind/Phind-CodeLlama-34B-v1", |
|
pipeline_tag: "text-generation", |
|
inference: InferenceDisplayability.Yes, |
|
}, |
|
]; |
|
|
|
const modelsDisabledWithExamples: ModelData[] = [ |
|
{ |
|
id: "superb/wav2vec2-base-superb-sid", |
|
pipeline_tag: "audio-classification", |
|
inference: InferenceDisplayability.CustomCode, |
|
widgetData: [ |
|
{ |
|
example_title: "Librispeech sample 1", |
|
src: "https://cdn-media.huggingface.co/speech_samples/sample1.flac", |
|
output: [ |
|
{ |
|
score: 1, |
|
label: "id10003", |
|
}, |
|
{ |
|
score: 3.958137817505758e-9, |
|
label: "id10912", |
|
}, |
|
], |
|
}, |
|
], |
|
}, |
|
{ |
|
id: "osanseviero/BigGAN-deep-128", |
|
pipeline_tag: "text-to-image", |
|
inference: InferenceDisplayability.LibraryNotDetected, |
|
widgetData: [ |
|
{ |
|
text: "a tiger", |
|
output: { |
|
url: "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", |
|
}, |
|
}, |
|
], |
|
}, |
|
{ |
|
id: "gpt2", |
|
pipeline_tag: "text-generation", |
|
inference: InferenceDisplayability.PipelineNotDetected, |
|
widgetData: [ |
|
// the widget should only show sample with output here |
|
{ text: "My name is Julien and I like to", output: { text: "code cool products with my friends." } }, |
|
{ text: "My name is Thomas and my main" }, |
|
{ text: "My name is Mariama, my favorite" }, |
|
{ text: "My name is Clara and I am" }, |
|
{ text: "Once upon a time," }, |
|
], |
|
}, |
|
]; |
|
</script> |
|
|
|
<div class="flex flex-col gap-6 py-12 px-4"> |
|
<ModeSwitcher /> |
|
|
|
{#if data.supportsOAuth} |
|
{#if !data.session} |
|
<form class="contents" method="post" action="/auth/signin/huggingface" target={isIframe ? "_blank" : ""}> |
|
<button type="submit" title="Sign in with Hugging Face"> |
|
<img |
|
src="https://huggingface.co/datasets/huggingface/badges/resolve/main/sign-in-with-huggingface-xl-dark.svg" |
|
alt="Sign in with Hugging Face" |
|
class="h-12 w-auto" |
|
/> |
|
</button> |
|
</form> |
|
{:else} |
|
<div class="flex items-center gap-2"> |
|
logged in as {data.session.user?.username} |
|
<img src={data.session?.user?.image} alt="" class="w-6 h-6 rounded-full" /> |
|
<form method="post" action="/auth/signout"> |
|
<button type="submit" class="underline">Sign out</button> |
|
</form> |
|
</div> |
|
{/if} |
|
{:else} |
|
<label> |
|
<div class="text-xl font-semibold">First, Enter HF token</div> |
|
<input class="form-input" type="text" bind:value={apiToken} placeholder="hf_..." on:change={storeHFToken} /> |
|
</label> |
|
{/if} |
|
|
|
<div> |
|
<h1 class="mb-8 text-4xl font-semibold">Showcase of all types of inference widgets running</h1> |
|
<div class="grid gap-4 w-full" style="grid-template-columns: repeat(auto-fill, minmax(400px, 1fr));"> |
|
{#each models as model} |
|
<div> |
|
<a class="mb-3 block text-xs text-gray-300" href="/{model.id}"> |
|
<code>{model.id}</code> |
|
</a> |
|
<div class="rounded-xl bg-white p-5 shadow-sm"> |
|
<InferenceWidget {apiToken} {model} /> |
|
</div> |
|
</div> |
|
{/each} |
|
</div> |
|
</div> |
|
|
|
<div> |
|
<h1 class="mb-8 text-4xl font-semibold">Showcase of all types of disabled inference</h1> |
|
<div class="grid gap-4 w-full" style="grid-template-columns: repeat(auto-fill, minmax(400px, 1fr));"> |
|
{#each modelsDisabled as model} |
|
<div> |
|
<a class="mb-3 block text-xs text-gray-300" href="/{model.id}"> |
|
<code>{model.id}</code> |
|
</a> |
|
<div class="max-w-md rounded-xl bg-white p-5 shadow-sm"> |
|
<InferenceWidget {apiToken} {model} /> |
|
</div> |
|
</div> |
|
{/each} |
|
</div> |
|
</div> |
|
|
|
<div> |
|
<h1 class="mb-8 text-4xl font-semibold">Showcase of all types of disabled inference with example outputs</h1> |
|
<div class="grid gap-4 w-full" style="grid-template-columns: repeat(auto-fill, minmax(400px, 1fr));"> |
|
{#each modelsDisabledWithExamples as model} |
|
<div> |
|
<a class="mb-3 block text-xs text-gray-300" href="/{model.id}"> |
|
<code>{model.id}</code> |
|
</a> |
|
<div class="max-w-md rounded-xl bg-white p-5 shadow-sm"> |
|
<InferenceWidget {apiToken} {model} /> |
|
</div> |
|
</div> |
|
{/each} |
|
</div> |
|
</div> |
|
</div> |
|
|
