How to use RomainDarous/preTrained_meanPooling_mistranslationModel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RomainDarous/preTrained_meanPooling_mistranslationModel") sentences = [ "यहाँका केही धार्मिक सम्पदाहरू यस प्रकार रहेका छन्।", "A party works journalists from advertisements about a massive Himalayan post.", "Some religious affiliations here remain.", "In Spain, the strict opposition of Roman Catholic churches is found to have assumed a marriage similar to male beach wives." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
