Instructions to use readerbench/jurBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/jurBERT-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("readerbench/jurBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56610c692a3a0775fe12da6606895e353e0f102b305f9ce60fd3e2adf76dff66
- Size of remote file:
- 549 MB
- SHA256:
- 8c8ce97505ca940d30ee946aff69a01395b8d803f784eb8c78cd90abf624ba6e
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