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