sentence-transformers How to use aamohame/hack_ai_embbedding_model with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("aamohame/hack_ai_embbedding_model")
sentences = [
"A man with blond-hair, and a brown shirt drinking out of a public water fountain.",
"A blond man wearing a brown shirt is reading a book on a bench in the park",
"The people are standing still on the curb.",
"An elderly man sits in a small shop."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
