权限问题
Browse files
app.py
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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# from huggingface_hub import login
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#
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# login()
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# 加载模型和tokenizer
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tokenizer = AutoTokenizer.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model")
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model = AutoModelForSequenceClassification.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model", num_labels=8)
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model.eval()
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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import os
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# from huggingface_hub import login
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#
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# login()
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# 加载模型和tokenizer
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from transformers import AutoTokenizer, AutoModel
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# Assuming you have set the HF_TOKEN environment variable with your Hugging Face token
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huggingface_token = os.getenv('HF_TOKEN')
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# Set up the token to use with the Hugging Face API
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os.environ['HUGGINGFACE_CO_API_TOKEN'] = huggingface_token
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tokenizer = AutoTokenizer.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model")
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model = AutoModelForSequenceClassification.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model", num_labels=8)
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model.eval()
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llama.js
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import { AutoTokenizer } from '@xenova/transformers';
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// Load tokenizer for a gated repository.
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const tokenizer = await AutoTokenizer.from_pretrained('Tokymin/Mood_Anxiety_Disorder_Classify_Model');
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// Encode text.
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const text = 'Hello world!';
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const encoded = tokenizer.encode(text);
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console.log(encoded);
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