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
legal-roberta-large / runs /Nov16_15-57-21_t1v-n-7cb529b4-w-0 /events.out.tfevents.1668614313.t1v-n-7cb529b4-w-0.98881.0
- Xet hash:
- 69ff2dc638b0575b97b7c8804016a998ecb6c913a8fbaadb30e26c29b4062022
- Size of remote file:
- 80 kB
- SHA256:
- 4f55e2adaf2f52298177486153eafb13ba95a1d8ab14413f3237324bf78b6df4
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