How to use keeeeenw/MicroLlama-text-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("keeeeenw/MicroLlama-text-embedding") sentences = [ "A construction worker is standing on a crane placing a large arm on top of a stature in progress.", "The man is wearing black.", "A person standing", "Nobody is standing" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
