How to use msallal/my-embedding-gemma2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("msallal/my-embedding-gemma2") 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/msallal/my-embedding-gemma2/resolve/main/tokenizer_config.json
hf download hf://msallal/my-embedding-gemma2/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/msallal/my-embedding-gemma2/resolve/main/tokenizer_config.json
