sentence-transformers How to use Nessrine9/finetuned2-snli-MiniLM-L12-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Nessrine9/finetuned2-snli-MiniLM-L12-v2")
sentences = [
"Face off with a ref mid-hockey game in an arena.",
"Nobody is playing",
"A mustached man in a patterned shirt watches a boat painted blue and orange.",
"Two adults makes calls on there cell phones during there lunch breaks."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
