| --- |
| language: |
| - ja |
| license: mit |
| tags: |
| - bart |
| - pytorch |
| datasets: |
| - wikipedia |
| --- |
| # bart-base-japanese |
|
|
| This model is converted from the original [Japanese BART Pretrained model](https://nlp.ist.i.kyoto-u.ac.jp/?BART%E6%97%A5%E6%9C%AC%E8%AA%9EPretrained%E3%83%A2%E3%83%87%E3%83%AB) released by Kyoto University. |
|
|
| Both the encoder and decoder outputs are identical to the original Fairseq model. |
|
|
| ### How to use the model |
|
|
| The input text should be tokenized by [BartJapaneseTokenizer](https://huggingface.co/Formzu/bart-base-japanese/blob/main/tokenization_bart_japanese.py). |
|
|
| Tokenizer requirements: |
| * [Juman++](https://github.com/ku-nlp/jumanpp) |
| * [zenhan](https://pypi.org/project/zenhan/) |
| * [pyknp](https://pypi.org/project/pyknp/) |
| * [sentencepiece](https://pypi.org/project/sentencepiece/) |
|
|
| #### Simple FillMaskPipeline |
| ```python |
| from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline |
| |
| model_name = "Formzu/bart-base-japanese" |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_name) |
| tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) |
| |
| masked_text = "天気が<mask>から散歩しましょう。" |
| |
| fill_mask = pipeline("fill-mask", model=model, tokenizer=tokenizer) |
| out = fill_mask(masked_text) |
| print(out) |
| # [{'score': 0.19255658984184265, 'token': 1718, 'token_str': 'よく', 'sequence': '天気 が よく から 散歩 し ましょう 。'}, |
| # {'score': 0.14426815509796143, 'token': 5478, 'token_str': '良く', 'sequence': '天気 が 良く から 散歩 し ましょう 。'}, |
| # {'score': 0.05554169788956642, 'token': 6561, 'token_str': '悪い', 'sequence': '天気 が 悪い から 散歩 し ましょう 。'}, |
| # {'score': 0.05524599179625511, 'token': 3553, 'token_str': '良い', 'sequence': '天気 が 良い から 散歩 し ましょう 。'}, |
| # {'score': 0.03720080852508545, 'token': 1370, 'token_str': '良', 'sequence': '天気 が 良 から 散歩 し ましょう 。'}] |
| ``` |
| #### Text Generation |
| ```python |
| from transformers import AutoModelForSeq2SeqLM, AutoTokenizer |
| import torch |
| |
| device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu") |
| |
| model_name = "Formzu/bart-base-japanese" |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_name).to(device) |
| tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) |
| |
| masked_text = "天気が<mask>から散歩しましょう。" |
| |
| inp = tokenizer(masked_text, return_tensors='pt').to(device) |
| |
| out = model.generate(**inp, num_beams=1, min_length=0, max_length=20, early_stopping=True, no_repeat_ngram_size=2) |
| res = "".join(tokenizer.decode(out.squeeze(0).tolist(), skip_special_tokens=True).split(" ")) |
| print(res) |
| # 天気がよくなってから散歩しましょう。天気のよく合っているところにいる |
| ``` |
|
|
| ### Framework versions |
|
|
| - Transformers 4.21.2 |
| - Pytorch 1.12.1+cu116 |
| - Tokenizers 0.12.1 |
|
|
