Upload ms-swift/examples/infer/demo_reward_model.py with huggingface_hub

ms-swift/examples/infer/demo_reward_model.py

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+# Copyright (c) Alibaba, Inc. and its affiliates.
+import os
+from typing import List
+
+os.environ['CUDA_VISIBLE_DEVICES'] = '0'
+
+
+def infer_batch(engine: 'InferEngine', infer_requests: List['InferRequest']):
+    resp_list = engine.infer(infer_requests)
+    print(f'messages0: {infer_requests[0].messages}')
+    print(f'response0: {resp_list[0].choices[0].message.content}')
+
+
+if __name__ == '__main__':
+    from swift.llm import InferEngine, InferRequest, PtEngine, load_dataset
+    model = 'Shanghai_AI_Laboratory/internlm2-1_8b-reward'
+    engine = PtEngine(model, max_batch_size=64)
+    # Here, `load_dataset` is used for convenience; `infer_batch` does not require creating a dataset.
+    dataset = load_dataset(['AI-ModelScope/alpaca-gpt4-data-zh#1000'], seed=42)[0]
+    print(f'dataset: {dataset}')
+    infer_requests = [InferRequest(**data) for data in dataset]
+    infer_batch(engine, infer_requests)
+
+    messages = [{
+        'role': 'user',
+        'content': "Hello! What's your name?"
+    }, {
+        'role': 'assistant',
+        'content': 'My name is InternLM2! A helpful AI assistant. What can I do for you?'
+    }]
+    infer_batch(engine, [InferRequest(messages=messages)])