Sentence Similarity
sentence-transformers
ONNX
Safetensors
Italian
distilbert
feature-extraction
dense
matryoshka
information-retrieval
Generated from Trainer
text-embeddings-inference
Instructions to use nickprock/multi-sentence-BERTino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nickprock/multi-sentence-BERTino with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nickprock/multi-sentence-BERTino") sentences = [ "Ci stiamo muovendo \"... rispetto al commovente telaio cosmico di riposo ... a circa 371 km/s verso la costellazione del Leone\".", "Una donna sta tagliando le cipolle verdi.", "Non c'è un 'fermo' che non sia relativo a qualche altro oggetto.", "Un gruppo di anziani si mette in posa attorno a un tavolo da pranzo." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Inference
- Notebooks
- Google Colab
- Kaggle
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