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
Download model_state.pdparams from junnyu/roformer_chinese_char_base: direct link, hf CLI and curl.
- Browser
- Download file 419 MB
-
https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/model_state.pdparams
- Command line
-
hf download hf://junnyu/roformer_chinese_char_base/model_state.pdparams
-
curl -L -o model_state.pdparams https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/model_state.pdparams
419 MB
- Xet hash:
- 56016dd1dfeecffb9f5185ce3cb6bd129cba302041eb675e1705a965836a2d84
- Size of remote file:
- 419 MB
- SHA256:
- c672df2e56d522de2e2cc22bec0a50f9cd11e625621b718369b3d14d9ea6cdff
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