Duplicated from intfloat/multilingual-e5-small
How to use vllm-project/multilingual-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vllm-project/multilingual-e5-small") 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/vllm-project/multilingual-e5-small/resolve/main/sentence_bert_config.json
hf download hf://vllm-project/multilingual-e5-small/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/vllm-project/multilingual-e5-small/resolve/main/sentence_bert_config.json
