Instructions to use casehold/legalbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casehold/legalbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="casehold/legalbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("casehold/legalbert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from casehold/legalbert: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/casehold/legalbert/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://casehold/legalbert/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/casehold/legalbert/resolve/main/flax_model.msgpack
438 MB
- Xet hash:
- e2b8dd50b07d84135dbe20a7a507d6995d94639ef162c660a1982c6e227ab3d3
- Size of remote file:
- 438 MB
- SHA256:
- 44e5fb893ceb2082519dc7ea0fa2f288794761f3afbf6a907683255ca771476d
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