
# Chinese Poem and Couplt small GPT2 Model

## Model description

The model is used to generate Chinese ancient poems and couplets. It is based on the [IDEA-CCNL/Wenzhong-GPT2-110M](https://huggingface.co/IDEA-CCNL/Wenzhong-GPT2-110M)


## How to use

You can use the model directly with a pipeline for text generation:

When the parameter skip_special_tokens is True:

```python
>>> from transformers import BertTokenizer, GPT2LMHeadModel,TextGenerationPipeline
>>> tokenizer = BertTokenizer.from_pretrained("snzhang/GPT2-Poem-Small")
>>> model = GPT2LMHeadModel.from_pretrained("snzhang/GPT2-Poem-Small")
>>> text_generator = TextGenerationPipeline(model, tokenizer)   
>>> text_generator("笔底江山助磅礴", max_length=50, do_sample=True)
    [{'generated_text':'笔底江山助磅礴，万卷诗书见成章。'}]
```

And you can add the prefix "(唐诗：your title)"、"(宋词：your title)" and "(对联)" to make generation more precise.

## Training data

Training data contains 71,334 Chinese ancient poems and couplets which are collected by [Chinese Poetry](https://github.com/chinese-poetry/chinese-poetry) and [Couplet Dataset](https://github.com/wb14123/couplet-dataset)

## More Details

You can get more details in [GPT2-Poem-Small](https://github.com/h7nian/GPT2-Poem-Small)

{"language": ["zh"], "license": "apache-2.0", "library_name": "transformers", "tags": ["art"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7, "top_p": 0.6, "repetition_penalty": 1.1, "max_new_tokens": 128, "num_return_sequences": 3, "do_sample": true}}, "widget": ["\u7b14\u5e95\u6c5f\u5c71\u52a9\u78c5\u7934", "(\u5510\u8bd7\uff1a\u79cb\u601d)\u8bd7\u8bcd", "(\u5b8b\u8bcd\uff1a\u6d63\u6eaa\u6c99)\u79cb", "(\u5bf9\u8054)\u51ac"]}
transformers pytorch gpt2 text-generation art zh license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #art #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Chinese Poem and Couplt small GPT2 Model

## Model description

The model is used to generate Chinese ancient poems and couplets. It is based on the IDEA-CCNL/Wenzhong-GPT2-110M


## How to use

You can use the model directly with a pipeline for text generation:

When the parameter skip_special_tokens is True:



And you can add the prefix "(唐诗：your title)"、"(宋词：your title)" and "(对联)" to make generation more precise.

## Training data

Training data contains 71,334 Chinese ancient poems and couplets which are collected by Chinese Poetry and Couplet Dataset

## More Details

You can get more details in GPT2-Poem-Small

# Chinese Poem and Couplt small GPT2 Model ## Model description

The model is used to generate Chinese ancient poems and couplets. It is based on the IDEA-CCNL/Wenzhong-GPT2-110M ## How to use

You can use the model directly with a pipeline for text generation:

When the parameter skip_special_tokens is True:



And you can add the prefix "(唐诗：your title)"、"(宋词：your title)" and "(对联)" to make generation more precise. ## Training data

Training data contains 71,334 Chinese ancient poems and couplets which are collected by Chinese Poetry and Couplet Dataset ## More Details

You can get more details in GPT2-Poem-Small
TAGS
#transformers #pytorch #gpt2 #text-generation #art #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Chinese Poem and Couplt small GPT2 Model ## Model description

The model is used to generate Chinese ancient poems and couplets. It is based on the IDEA-CCNL/Wenzhong-GPT2-110M ## How to use

You can use the model directly with a pipeline for text generation:

When the parameter skip_special_tokens is True:



And you can add the prefix "(唐诗：your title)"、"(宋词：your title)" and "(对联)" to make generation more precise. ## Training data

Training data contains 71,334 Chinese ancient poems and couplets which are collected by Chinese Poetry and Couplet Dataset ## More Details

You can get more details in GPT2-Poem-Small