How to use intfloat/multilingual-e5-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/multilingual-e5-large") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
https://huggingface.co/intfloat/multilingual-e5-large/resolve/refs%2Fpr%2F58/openvino/openvino_model.xml
hf download hf://intfloat/multilingual-e5-large@refs/pr/58/openvino/openvino_model.xml
curl -L -o openvino_model.xml https://huggingface.co/intfloat/multilingual-e5-large/resolve/refs%2Fpr%2F58/openvino/openvino_model.xml
