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:
- 82f4b8f3dce3b852c94951ef0f40e38860576a6bd0aaf25ea9b348fcc966f2af
- Size of remote file:
- 2.42 kB
- SHA256:
- f08d7e5961597ebf0a23d88b74a39eb85f6e12217f7c7ca7b583d87bc051ddc3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.