Instructions to use junnyu/roformer_chinese_char_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use junnyu/roformer_chinese_char_base with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, RoFormerForMaskedLM tokenizer = AutoTokenizer.from_pretrained("junnyu/roformer_chinese_char_base", from_hf_hub=True) model = RoFormerForMaskedLM.from_pretrained("junnyu/roformer_chinese_char_base", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2963452685d3629385a9506aa507b313b58002b2359bdecd600ddbe638031f36
- Size of remote file:
- 417 MB
- SHA256:
- a6675311f778835475a2e474e9ba13bfb4330a0f08ca59eb13c7a29b469419b5
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