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Update README-zh-Hans.md
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@ -76,7 +76,7 @@ InternLM ,即书生·浦语大模型,包含面向实用场景的70亿参数
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```python
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```python
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>>> from transformers import AutoTokenizer, AutoModelForCausalLM
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>>> from transformers import AutoTokenizer, AutoModelForCausalLM
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>>> tokenizer = AutoTokenizer.from_pretrained("internlm/internlm-chat-7b", trust_remote_code=True)
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>>> tokenizer = AutoTokenizer.from_pretrained("internlm/internlm-chat-7b", trust_remote_code=True)
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>>> model = AutoModelForCausalLM.from_pretrained("internlm/internlm-chat-7b", trust_remote_code=True, device='cuda')
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>>> model = AutoModelForCausalLM.from_pretrained("internlm/internlm-chat-7b", trust_remote_code=True).cuda()
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>>> model = model.eval()
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>>> model = model.eval()
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>>> response, history = model.chat(tokenizer, "你好", history=[])
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>>> response, history = model.chat(tokenizer, "你好", history=[])
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>>> print(response)
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>>> print(response)
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