How to use B0ketto/tmp_trainer with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("B0ketto/tmp_trainer") sentences = [ "Enforcement of minor traffic offenses leads to the discovery of more serious crimes.", "Western culture has created independent women who are strong on their own and do not need the protection or support of their husband. This reduces the subjugation of women.", "Philando Castile, stopped for a broken tailight, was shot seven times and killed trying to comply with the officer's request for identification.", "The children will have several older / more mature stepmothers." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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