sentence-transformers How to use Nessrine9/Finetune2-MiniLM-L12-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Nessrine9/Finetune2-MiniLM-L12-v2")
sentences = [
"A woman wearing a yellow shirt is holding a plate which contains a piece of cake.",
"The woman in the yellow shirt might have cut the cake and placed it on the plate.",
"Male bicyclists compete in the Tour de France.",
"The man is walking"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
