How to use NetoAISolutions/T-VEC with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NetoAISolutions/T-VEC", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
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