How to use iddqd21/fine-tuned-e5-semantic-similarity with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("iddqd21/fine-tuned-e5-semantic-similarity") sentences = [ "Somatotropin Ab", "Desethylamiodarone", "Glucose^7H post XXX challenge", "Somatotropin Ab" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
