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:
- c05d1c2e8c29035ab94f041ddaf72e61250e5ab9ee4a956be45a3b87ee53e63c
- Size of remote file:
- 13.6 kB
- SHA256:
- b06f062cec2bd581a5223b4bd92c5f2dcf09d9cd3cfe1d2d70466080b2e9546a
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