Instructions to use ShannonAI/ChineseBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShannonAI/ChineseBERT-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShannonAI/ChineseBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config/STFANGSO.TTF24.npy from ShannonAI/ChineseBERT-base: direct link, hf CLI and curl.
- Browser
- Download file 107 MB
-
https://huggingface.co/ShannonAI/ChineseBERT-base/resolve/main/config/STFANGSO.TTF24.npy
- Command line
-
hf download hf://ShannonAI/ChineseBERT-base/config/STFANGSO.TTF24.npy
-
curl -L -o STFANGSO.TTF24.npy https://huggingface.co/ShannonAI/ChineseBERT-base/resolve/main/config/STFANGSO.TTF24.npy
107 MB
- Xet hash:
- a860b8ab0d09def8f0b671e305b19b20d147850e70e2d27821aa1e5b57448fe7
- Size of remote file:
- 107 MB
- SHA256:
- 09e11244c473c9272b6e9d2b81aaead7d3adbeb9c4c6fde5c5fe495401ceb065
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