Duplicated from ibm-granite/granite-embedding-30m-sparse
How to use seerware/granite-embedding-30m-sparse with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("seerware/granite-embedding-30m-sparse") 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]
