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README.md
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---
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license: apache-2.0
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datasets:
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- xmj2002/tang_poems
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language:
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- zh
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---
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使用的预训练模型为[uer/gpt2-chinese-cluecorpussmall](https://huggingface.co/uer/gpt2-chinese-cluecorpussmall)
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## Usage
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```python
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from transformers import AutoModelForCausalLM
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from transformers import AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("xmj2002/gpt2_tang_poetry")
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model = AutoModelForCausalLM.from_pretrained("xmj2002/gpt2_tang_poetry")
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text = "白居易《远方》"
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inputs = tokenizer(text, return_tensors="pt").input_ids
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outputs = model.generate(inputs, max_new_tokens=100, do_sample=True, top_k=100, top_p=0.95)
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tokenizer.decode(outputs[0], skip_special_tokens=True)
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```
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