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:
- ebe01980546b935cb9487779ced8911d0239c3449e893110d35e277a3ee71e5f
- Size of remote file:
- 3.38 kB
- SHA256:
- 225de94e6547ae8e2d8e5b9a0e34c719612311b29038a27f9107115c46808f63
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