Instructions to use junnyu/roformer_chinese_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use junnyu/roformer_chinese_base with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, RoFormerForMaskedLM tokenizer = AutoTokenizer.from_pretrained("junnyu/roformer_chinese_base", from_hf_hub=True) model = RoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_base", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98a9dc57f652715b7dfd50b90e597b057fad55462b6e9ef4f7b0d3edc9b46bf2
- Size of remote file:
- 650 MB
- SHA256:
- e02e774b33014b21e68f3b9e9d1452c287e3a97171b2906ab42f0ab66ea96c7c
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