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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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license: mit
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---
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## Usage
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### Initalization
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```
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!pip install transformers[torch]
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from transformers import GPT2Tokenizer, GPT2LMHeadModel
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import torch
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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tokenizer = GPT2Tokenizer.from_pretrained('Hollway/gpt2_finetne')
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model = GPT2LMHeadModel.from_pretrained('Hollway/gpt2_finetne').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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with torch.no_grad():
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tokens = model.generate(
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**inputs,
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max_new_tokens=256,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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repetition_penalty=1.05,
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pad_token_id=tokenizer.pad_token_id,
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)
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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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