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:
- d60a1e54f08a00a156586957c5a2c2c583ff10ad1e70f515154c6826306801ac
- Size of remote file:
- 652 MB
- SHA256:
- 9dfbe441ea111ed8ff6cc665fcc9c9e5e030dcc0298d7a7fc4071eb5a4f1207f
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