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README.md
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---
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license: mit
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---
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-
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-
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```
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!pip install transformers[torch]
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model = GPT2LMHeadModel.from_pretrained('Hollway/gpt2_finetune').to(device)
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```
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### Inference
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```
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def generate(text):
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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return tokenizer.decode(tokens[0], skip_special_tokens=True)
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generate("只因你")
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```
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---
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language:
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- cn
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- en
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license: mit
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datasets:
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- TigerResearch/tigerbot-zhihu-zh-10k
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pipeline_tag: text-generation
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---
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# 中文文本生成
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## 1 Usage
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### 1.1 Initalization
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```
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!pip install transformers[torch]
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model = GPT2LMHeadModel.from_pretrained('Hollway/gpt2_finetune').to(device)
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```
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### 1.2 Inference
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```
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def generate(text):
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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return tokenizer.decode(tokens[0], skip_special_tokens=True)
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generate("只因你")
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```
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