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
Daniele Licari commited on
Commit ·
ded976c
1
Parent(s): 8af9655
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 2415
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