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
Adding `safetensors` variant of this model
#11 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#10 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#9 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#8 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#7 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#6 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#5 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened about 3 years ago
by
SFconvertbot
Add legal tag
#2 opened about 3 years ago
by
librarian-bot