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]
