Instructions to use dlicari/Italian-Legal-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dlicari/Italian-Legal-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dlicari/Italian-Legal-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dlicari/Italian-Legal-BERT") model = AutoModelForMaskedLM.from_pretrained("dlicari/Italian-Legal-BERT") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8a589f57b75acc24e499cdf5e6d5c3224b33c08e3f158eb5ebad3088844a95f
- Size of remote file:
- 443 MB
- SHA256:
- 0da6b4681c3eb34033e84601b696df2fd0cf99472dcdf31ddcd2dfa63795d41b
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