How to use Teradata/granite-embedding-30m-english with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Teradata/granite-embedding-30m-english") 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]
