How to use Pieces/embeddinggemma-300m-distilled-width10pct-128dim-best with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Pieces/embeddinggemma-300m-distilled-width10pct-128dim-best") 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/Pieces/embeddinggemma-300m-distilled-width10pct-128dim-best/resolve/main/added_tokens.json
hf download hf://Pieces/embeddinggemma-300m-distilled-width10pct-128dim-best/added_tokens.json
curl -L -o added_tokens.json https://huggingface.co/Pieces/embeddinggemma-300m-distilled-width10pct-128dim-best/resolve/main/added_tokens.json
