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---
language:
- cn
- en
license: mit
datasets:
- TigerResearch/tigerbot-zhihu-zh-10k
pipeline_tag: text-generation
---
# 中文文本生成
## 1 Usage
### 1.1 Initalization
```
!pip install transformers[torch]
from transformers import GPT2Tokenizer, GPT2LMHeadModel
import torch
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
tokenizer = GPT2Tokenizer.from_pretrained('Hollway/gpt2_finetune')
model = GPT2LMHeadModel.from_pretrained('Hollway/gpt2_finetune').to(device)
```
### 1.2 Inference
```
def generate(text):
inputs = tokenizer(text, return_tensors="pt").to(model.device)
with torch.no_grad():
tokens = model.generate(
**inputs,
max_new_tokens=256,
do_sample=True,
temperature=0.7,
top_p=0.9,
repetition_penalty=1.05,
pad_token_id=tokenizer.pad_token_id,
)
return tokenizer.decode(tokens[0], skip_special_tokens=True)
generate("只因你")
``` |