
# Japanese GPT2 Lyric Model

## Model description

The model is used to generate Japanese lyrics.

You can try it on my website [https://lyric.fab.moe/](https://lyric.fab.moe/#/)

## How to use

```python
import torch
from transformers import T5Tokenizer, GPT2LMHeadModel

tokenizer = T5Tokenizer.from_pretrained("skytnt/gpt2-japanese-lyric-small")
model = GPT2LMHeadModel.from_pretrained("skytnt/gpt2-japanese-lyric-small")


def gen_lyric(prompt_text: str):
    prompt_text = "<s>" + prompt_text.replace("\n", "\\n ")
    prompt_tokens = tokenizer.tokenize(prompt_text)
    prompt_token_ids = tokenizer.convert_tokens_to_ids(prompt_tokens)
    prompt_tensor = torch.LongTensor(prompt_token_ids).to(device)
    prompt_tensor = prompt_tensor.view(1, -1)
    # model forward
    output_sequences = model.generate(
        input_ids=prompt_tensor,
        max_length=512,
        top_p=0.95,
        top_k=40,
        temperature=1.0,
        do_sample=True,
        early_stopping=True,
        bos_token_id=tokenizer.bos_token_id,
        eos_token_id=tokenizer.eos_token_id,
        pad_token_id=tokenizer.pad_token_id,
        num_return_sequences=1
    )

    # convert model outputs to readable sentence
    generated_sequence = output_sequences.tolist()[0]
    generated_tokens = tokenizer.convert_ids_to_tokens(generated_sequence)
    generated_text = tokenizer.convert_tokens_to_string(generated_tokens)
    generated_text = "\n".join([s.strip() for s in generated_text.split('\\n')]).replace(' ', '\u3000').replace('<s>', '').replace('</s>', '\n\n---end---')
    return generated_text


print(gen_lyric("桜が咲く"))

```

## Training data

[Training data](https://huggingface.co/datasets/skytnt/japanese-lyric/blob/main/lyric_clean.pkl) contains 143,587 Japanese lyrics which are collected from [uta-net](https://www.uta-net.com/) by [lyric_download](https://github.com/SkyTNT/lyric_downlowd)
{"language": "ja", "license": "mit", "tags": ["ja", "japanese", "gpt2", "text-generation", "lm", "nlp"], "datasets": ["skytnt/japanese-lyric"], "widget": [{"text": "\u685c\u304c\u54b2\u304f"}]}
transformers pytorch tf safetensors gpt2 text-generation ja japanese lm nlp dataset:skytnt/japanese-lyric license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tf #safetensors #gpt2 #text-generation #ja #japanese #lm #nlp #dataset-skytnt/japanese-lyric #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Japanese GPT2 Lyric Model

## Model description

The model is used to generate Japanese lyrics.

You can try it on my website URL

## How to use



## Training data

Training data contains 143,587 Japanese lyrics which are collected from uta-net by lyric_download
# Japanese GPT2 Lyric Model ## Model description

The model is used to generate Japanese lyrics.

You can try it on my website URL ## How to use ## Training data

Training data contains 143,587 Japanese lyrics which are collected from uta-net by lyric_download
TAGS
#transformers #pytorch #tf #safetensors #gpt2 #text-generation #ja #japanese #lm #nlp #dataset-skytnt/japanese-lyric #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Japanese GPT2 Lyric Model ## Model description

The model is used to generate Japanese lyrics.

You can try it on my website URL ## How to use ## Training data

Training data contains 143,587 Japanese lyrics which are collected from uta-net by lyric_download
passage: TAGS
#transformers #pytorch #tf #safetensors #gpt2 #text-generation #ja #japanese #lm #nlp #dataset-skytnt/japanese-lyric #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Japanese GPT2 Lyric Model## Model description

The model is used to generate Japanese lyrics.

You can try it on my website URL## How to use## Training data

Training data contains 143,587 Japanese lyrics which are collected from uta-net by lyric_download