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:
- 8bc55620b4d8402ba8a3cbdd182f1426c20e476ddccd133d3e883cc5e1f7646a
- Size of remote file:
- 443 MB
- SHA256:
- c0f596e1b9eaa66b521f2e9bee8804f94be097be97a5d1beabeed63ade160cf5
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