How to use neeva/query2query with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("neeva/query2query") 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/neeva/query2query/resolve/refs%2Fpr%2F1/.DS_Store
hf download hf://neeva/query2query@refs/pr/1/.DS_Store
curl -L -o .DS_Store https://huggingface.co/neeva/query2query/resolve/refs%2Fpr%2F1/.DS_Store
