How to use bebechien/embedding-gemma-finetuned-hn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bebechien/embedding-gemma-finetuned-hn") sentences = [ "MY_FAVORITE_NEWS", "Show HN: I've built a tiny hand-held keyboard", "LLMs are mortally terrified of exceptions", "My first contribution to Linux" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
