How to use RomainDarous/monoSts_meanPooling_mistranslationModel with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RomainDarous/monoSts_meanPooling_mistranslationModel") sentences = [ "The man talked to a girl over the internet camera.", "A group of elderly people pose around a dining table.", "A teenager talks to a girl over a webcam.", "There is no 'still' that is not relative to some other object." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/RomainDarous/monoSts_meanPooling_mistranslationModel/resolve/main/tokenizer.json
hf download hf://RomainDarous/monoSts_meanPooling_mistranslationModel/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/RomainDarous/monoSts_meanPooling_mistranslationModel/resolve/main/tokenizer.json
