Instructions to use baikal/bert-wp30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baikal/bert-wp30 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("baikal/bert-wp30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from baikal/bert-wp30: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/baikal/bert-wp30/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://baikal/bert-wp30/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/baikal/bert-wp30/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- b902f554a9b32cd98b5c35cdb02f8043b48354f3d1275ab67e49850ce500a4f2
- Size of remote file:
- 439 MB
- SHA256:
- b224df5255cf40521eee6a68240024d47c1c83438200fb7d47ddb63f101a7089
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