Instructions to use WENGSYX/Deberta-Chinese-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WENGSYX/Deberta-Chinese-Large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WENGSYX/Deberta-Chinese-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.params from WENGSYX/Deberta-Chinese-Large: direct link, hf CLI and curl.
- Browser
- Download file 878 MB
-
https://huggingface.co/WENGSYX/Deberta-Chinese-Large/resolve/main/model.params
- Command line
-
hf download hf://WENGSYX/Deberta-Chinese-Large/model.params
-
curl -L -o model.params https://huggingface.co/WENGSYX/Deberta-Chinese-Large/resolve/main/model.params
878 MB
- Xet hash:
- 0bd2c4964a712facb3230c154eb6b3916c00956bd095b0ae9c7cfaea6bc331d9
- Size of remote file:
- 878 MB
- SHA256:
- 81c6345b8bb985c65053b83323c9184abea274a7fd7533fe76c7471d4a39aec5
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