Sentence Similarity
Safetensors
sentence-transformers
Italian
pylate
modernbert
colbert
late-interaction
italian
retrieval
information-retrieval
rag
multi-vector
text-embeddings-inference
Instructions to use enricollen/ItColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use enricollen/ItColBERT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("enricollen/ItColBERT") sentences = [ "Questa è una persona felice", "Questo è un cane felice", "Questa è una persona molto felice", "Oggi è una giornata di sole" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Center banner image in model card
Browse files
README.md
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# ItColBERT
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**A monolingual Italian late-interaction retriever.** Built with
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[PyLate](https://github.com/lightonai/pylate) on top of an Italian ModernBERT
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# ItColBERT
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<div align="center">
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<img src="assets/banner.png" alt="ItColBERT banner" width="550">
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</div>
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**A monolingual Italian late-interaction retriever.** Built with
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[PyLate](https://github.com/lightonai/pylate) on top of an Italian ModernBERT
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