sentence-transformers How to use tomaarsen/google-siglip-base-512-coco with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("tomaarsen/google-siglip-base-512-coco")
sentences = [
"A man standing next to a little girl riding a horse.",
"The woman is working on her computer at the desk.",
"A young man holding an umbrella next to a herd of cattle.",
"a person sitting at a desk with a keyboard and monitor "
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
