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:
- bef90ee5136412b8d492c0dba5ef56899c6b64190b9d22f0e5ed2949d065da65
- Size of remote file:
- 3.38 kB
- SHA256:
- 3b4ff5810bc5e548a89007cef7a8f26eae082bc23f1a60b2fb29c87071c0fb01
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