Instructions to use joelniklaus/legal-swiss-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joelniklaus/legal-swiss-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joelniklaus/legal-swiss-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joelniklaus/legal-swiss-roberta-large") model = AutoModelForMaskedLM.from_pretrained("joelniklaus/legal-swiss-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97fa9596c9071a4ead592ee34641d0c1c266c41d2c1658702873f79b4883a7e0
- Size of remote file:
- 1.74 GB
- SHA256:
- 3b038c23d4bb8efc08e7dd7afe5505c2ea636f88b8fb983d29865f1596718dcb
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