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 /Nov11_11-20-13_t1v-n-8ad30fd0-w-0 /events.out.tfevents.1668165675.t1v-n-8ad30fd0-w-0.328105.0
- Xet hash:
- 6120c843cca10c7aab84115d86f3765eab3ca321f80da2fb41827bc7271127a8
- Size of remote file:
- 20.3 kB
- SHA256:
- cf34b188b8f13459a3297f67df0d13b447acdb3f15f0b04e78c3a590ab34034d
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