Token Classification
Transformers
Safetensors
Italian
English
xlm-roberta
sentence-boundary-detection
sentence-splitting
multilingual
Instructions to use LorenzoVentrone/SentenceSplitter-it-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LorenzoVentrone/SentenceSplitter-it-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LorenzoVentrone/SentenceSplitter-it-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LorenzoVentrone/SentenceSplitter-it-en") model = AutoModelForTokenClassification.from_pretrained("LorenzoVentrone/SentenceSplitter-it-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
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