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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11c7ebd146ee4dcd6d7ed0935bb6bb220b5d0c32f7e01bdd223aba43de99e5f5
- Size of remote file:
- 498 MB
- SHA256:
- cb28540790ff61b847e3643df2798db6ed6a1d8a01171bae597a031252ef4901
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