How to use embaas/sentence-transformers-e5-large-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("embaas/sentence-transformers-e5-large-v2") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/embaas/sentence-transformers-e5-large-v2/resolve/refs%2Fpr%2F2/tokenizer.json
hf download hf://embaas/sentence-transformers-e5-large-v2@refs/pr/2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/embaas/sentence-transformers-e5-large-v2/resolve/refs%2Fpr%2F2/tokenizer.json
