Instructions to use dlicari/Italian-Legal-BERT-SC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dlicari/Italian-Legal-BERT-SC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dlicari/Italian-Legal-BERT-SC")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dlicari/Italian-Legal-BERT-SC") model = AutoModelForMaskedLM.from_pretrained("dlicari/Italian-Legal-BERT-SC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce062959192e7fd0ea7a9c6ec55c66f8b318bc0edb63d2762665786c4d84832d
- Size of remote file:
- 800 kB
- SHA256:
- a2fbb3bb906b26c1c1b452d8ce3b85fff14162452c5ca6f4167aa91c25e7b593
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