How to use Nessrine9/finetuned-snli-MiniLM-L12-v2-100k-en-fr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Nessrine9/finetuned-snli-MiniLM-L12-v2-100k-en-fr") sentences = [ "The church has granite statues of Jesus and the Apostles adorning its porch .", "There were no statues in the church .", "L' Afrique du sud et le reste de l' Afrique sont les mêmes .", "Tours on foot are a great way to see LA ." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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