sentence-transformers 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] 
