How to use nicolassaint/administration_embedding_large-v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nicolassaint/administration_embedding_large-v0.1") sentences = [ "DAS", "DEFD", "résilier", "exemple_1" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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