Instructions to use fax4ever/bert-base-italian-xxl-cased-sentence-splitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fax4ever/bert-base-italian-xxl-cased-sentence-splitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fax4ever/bert-base-italian-xxl-cased-sentence-splitter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fax4ever/bert-base-italian-xxl-cased-sentence-splitter") model = AutoModelForTokenClassification.from_pretrained("fax4ever/bert-base-italian-xxl-cased-sentence-splitter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b99abe06d2efaa2b1d6ab59b12a675ce4d09431a5d7f8ef48952a9f14c419141
- Size of remote file:
- 5.84 kB
- SHA256:
- 216f28a4dbfee51a11e8aaa25af54596816e263190a3f027a0da8223faa5d92e
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