---
language:
- zh
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
base_model: uer/gpt2-chinese-cluecorpussmall
tags:
- gpt2
- chinese
- text-generation
---

# GPT2-ChineseDevBench

This model is based on `uer/gpt2-chinese-cluecorpussmall` and is intended for Chinese text generation experiments.

## Model Details

- Base model: `uer/gpt2-chinese-cluecorpussmall`
- Language: Chinese
- Task: Text Generation
- Framework: Transformers / PyTorch

## Intended Use

This model can be used for Chinese text generation research, testing, and development experiments.

## How to Use

```python
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

model_id = "Recor2d/GPT2-ChineseDevBench"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
print(generator("这是很久之前的事情了", max_length=100, do_sample=True))