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:
- 5561f76d346361afb98fb753f416c8d40deb5df73e80323616ca089d0fc0ef59
- Size of remote file:
- 496 MB
- SHA256:
- aa972df4d0ddd5593d3fa57e9b1f284317f3f996ab9e8edc3ef8521d3ab46231
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