How to use intfloat/e5-large-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/e5-large-v2") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
The tsv file format should be as follows:id text title1 Alice likes adventures. Alice2 Bob likes reading books. Bob3 Charlie is a free-spirited artist. Charlie
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