Instructions to use lexlms/legal-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lexlms/legal-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lexlms/legal-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lexlms/legal-roberta-large") model = AutoModelForMaskedLM.from_pretrained("lexlms/legal-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99fb5d4f7d66546a23b0873441cc115256f9fffbb95b5c8b6e749c0292b8b62c
- Size of remote file:
- 1.42 GB
- SHA256:
- c0a529311e7b73b1544a6d34e823d88935fc28967cab28dfe3641c41ef9d9245
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