sentence-transformers 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] 
