Duplicate from StarRing2022/Rwkv-430M-pile-Alpaca-Run

Co-authored-by: StarRing2022 <StarRing2022@users.noreply.huggingface.co>

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README.md

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+---
+title: Rwkv 430M Pile Alpaca Run
+emoji: 🐢
+colorFrom: blue
+colorTo: blue
+sdk: gradio
+sdk_version: 3.29.0
+app_file: app.py
+pinned: false
+duplicated_from: StarRing2022/Rwkv-430M-pile-Alpaca-Run
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from datasets import load_dataset
+from transformers import RwkvForCausalLM, GPTNeoXTokenizerFast,GPT2Config,pipeline,GenerationConfig
+import torch
+import numpy as np
+import gradio as gr
+
+
+model = RwkvForCausalLM.from_pretrained("StarRing2022/RWKV-430M-Pile-Alpaca") 
+
+
+tokenizer = GPTNeoXTokenizerFast.from_pretrained("StarRing2022/RWKV-430M-Pile-Alpaca", add_special_tokens=True)
+
+
+#rwkv with alpaca 
+def generate_prompt(instruction, input=None):
+    
+    return f"""Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{instruction}
+
+### Response:"""
+
+def evaluate(
+    instruction,
+    temperature=0.1,
+    top_p=0.75,
+    top_k=40,
+    max_new_tokens=128,
+):
+    prompt = generate_prompt(instruction)
+    input_ids = tokenizer.encode(prompt, return_tensors='pt')
+    out = model.generate(input_ids=input_ids,temperature=temperature,top_p=top_p,top_k=top_k,max_new_tokens=max_new_tokens)
+    answer = tokenizer.decode(out[0])
+    return answer.split("### Response:")[1].strip()
+
+
+gr.Interface(
+    fn=evaluate,#接口函数
+    inputs=[
+        gr.components.Textbox(
+            lines=2, label="Instruction", placeholder="Tell me about alpacas."
+        ),
+        gr.components.Slider(minimum=0, maximum=1, value=0.1, label="Temperature"),
+        gr.components.Slider(minimum=0, maximum=1, value=0.75, label="Top p"),
+        gr.components.Slider(minimum=0, maximum=100, step=1, value=40, label="Top k"),
+        gr.components.Slider(
+            minimum=1, maximum=2000, step=1, value=128, label="Max tokens"
+        ),
+    ],
+    outputs=[
+        gr.inputs.Textbox(
+            lines=5,
+            label="Output",
+        )
+    ],
+    title="RWKV-Alpaca",
+    description="RWKV,Easy In HF.",
+).launch()

requirements.txt

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+datasets
+torch
+transformers
+