How to use anudit/finetuned-gte-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("anudit/finetuned-gte-base", trust_remote_code=True) sentences = [ "Anonymity in online interactions can lead to a disinhibition effect, where individuals feel free to express hostile or aggressive opinions they might otherwise suppress.", "What are the implications of anonymity in online interactions?", "How does creativity function as a form of costly signalling in personal expressions such as invitations?", "Why is conflict considered essential in a creative organization?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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