sentence-transformers How to use RomainDarous/large_directTwoEpoch_additivePooling_noisedInit_mistranslationModel with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("RomainDarous/large_directTwoEpoch_additivePooling_noisedInit_mistranslationModel")
sentences = [
"Malformed target specific variable definition",
"Hedefe özgü değişken tanımı bozuk",
"Kan alle data in die gids lees",
"слава Украине! героям слава!"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
