Chinese Bigbird Base 4096

🚀 Chinese BigBird with Jieba Tokenizer

This project integrates the BigBird model with a Jieba-based tokenizer for Chinese text processing, enhancing the tokenization efficiency and accuracy.

🚀 Quick Start

The following code demonstrates how to use the JiebaTokenizer with the BigBirdModel in Python.

import jieba_fast
from transformers import BertTokenizer
from transformers import BigBirdModel

class JiebaTokenizer(BertTokenizer):
    def __init__(
        self, pre_tokenizer=lambda x: jieba_fast.cut(x, HMM=False), *args, **kwargs
    ):
        super().__init__(*args, **kwargs)
        self.pre_tokenizer = pre_tokenizer

    def _tokenize(self, text, *arg, **kwargs):
        split_tokens = []
        for word in self.pre_tokenizer(text):
            if word in self.vocab:
                split_tokens.append(word)
            else:
                split_tokens.extend(super()._tokenize(word))
        return split_tokens

model = BigBirdModel.from_pretrained('Lowin/chinese-bigbird-base-4096')
tokenizer = JiebaTokenizer.from_pretrained('Lowin/chinese-bigbird-base-4096')

You can access the project repository at https://github.com/LowinLi/chinese-bigbird.

📄 License

This project is licensed under the Apache-2.0 License.