How to use mlx-community/embeddinggemma-300m-6bit with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mlx-community/embeddinggemma-300m-6bit") 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]
How to use mlx-community/embeddinggemma-300m-6bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir embeddinggemma-300m-6bit mlx-community/embeddinggemma-300m-6bit
The community tab is the place to discuss and collaborate with the HF community!
