How to use intfloat/multilingual-e5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("intfloat/multilingual-e5-base") 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-base/resolve/3bd751ff7e8adf2f91c28ab3faff398df6a92475/tokenizer.json
hf download hf://intfloat/multilingual-e5-base@3bd751ff7e8adf2f91c28ab3faff398df6a92475/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/intfloat/multilingual-e5-base/resolve/3bd751ff7e8adf2f91c28ab3faff398df6a92475/tokenizer.json
