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:
- 90a6e3d301db2158b4c011ccdd88bf4be0122cafdf17b907e3b042da6713cf76
- Size of remote file:
- 499 MB
- SHA256:
- 36e61febb4e603bf33fa6613d8819fb4dfc846b169fabb6c83fdccb4aab2ab4a
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