How to use dpshade22/embeddinggemma-scripture-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dpshade22/embeddinggemma-scripture-v1") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/dpshade22/embeddinggemma-scripture-v1/resolve/main/tokenizer_config.json
hf download hf://dpshade22/embeddinggemma-scripture-v1/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/dpshade22/embeddinggemma-scripture-v1/resolve/main/tokenizer_config.json
