Instructions to use lexlms/legal-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lexlms/legal-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lexlms/legal-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lexlms/legal-roberta-base") model = AutoModelForMaskedLM.from_pretrained("lexlms/legal-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fc74d04752fcf9513c34af79bfd0185817d63964088599d176af4c20ba920df
- Size of remote file:
- 13.6 kB
- SHA256:
- 305632a8833b49b3167aa1319ddc125408cf66a7d459afebacacaa7cdcedb877
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