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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("casehold/custom-legalbert", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79be9fc6b47a5ac68b7b4f598482a94eee1ffba42c005cd63dbd2e3a883475ff
- Size of remote file:
- 442 MB
- SHA256:
- f4e7ec437e3baf00f2f357071db200f76cd1031632c89722b3068d0b5a0361a9
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