How to use jonpark0/embeddinggemma-2-ko with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jonpark0/embeddinggemma-2-ko") 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/jonpark0/embeddinggemma-2-ko/resolve/main/1_Pooling/config.json
hf download hf://jonpark0/embeddinggemma-2-ko/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/jonpark0/embeddinggemma-2-ko/resolve/main/1_Pooling/config.json
