Add new SentenceTransformer model (#1) 1efe806
Beauvais commited on
How to use biblissima/all-MiniLM-L6-v2_cotes with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("biblissima/all-MiniLM-L6-v2_cotes")
sentences = [
"Paris. Bibliothèque nationale de France, Département des manuscrits, Latin 3085",
"Oxford, Bodleian Library, Canon. gr., 051",
"Paris. Bibliothèque nationale de France, Collection des manuscrits médiévaux, Latin 3084",
"Cracovie, BJ, Ms 1724"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
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