Instructions to use casehold/custom-legalbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casehold/custom-legalbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="casehold/custom-legalbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("casehold/custom-legalbert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from casehold/custom-legalbert: direct link, hf CLI and curl.
- Browser
- Download file 442 MB
-
https://huggingface.co/casehold/custom-legalbert/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://casehold/custom-legalbert/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/casehold/custom-legalbert/resolve/main/flax_model.msgpack
442 MB
- Xet hash:
- 79be9fc6b47a5ac68b7b4f598482a94eee1ffba42c005cd63dbd2e3a883475ff
- Size of remote file:
- 442 MB
- SHA256:
- f4e7ec437e3baf00f2f357071db200f76cd1031632c89722b3068d0b5a0361a9
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