Instructions to use jhu-clsp/LegalBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhu-clsp/LegalBert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jhu-clsp/LegalBert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a313445530ea65806c9e7b54a986f535c6df5e63e2c085cfa562db3bd25d901
- Size of remote file:
- 436 MB
- SHA256:
- 0ffb28372eea052f3d86c787444008bdbd3e6d7180df9047fe3b2e6fe32d8ea8
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