{"library":"mlx-embeddings","type":"library","category":null,"description":"MLX-Embeddings is a Python package for generating text and vision embeddings locally on Apple Silicon Macs using MLX. It supports models like BERT, CLIP, and SigLIP, optimized for Apple's Metal Performance Shaders. Version 0.1.0 is the initial release, with modular backends.","language":"python","status":"active","version":"0.1.0","tags":["mlx","embeddings","apple-silicon","vision","nlp"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install mlx-embeddings","imports":["from mlx_embeddings import TextEmbedding","from mlx_embeddings import ImageEmbedding"]}],"homepage":"https://github.com/Blaizzy/mlx-embeddings","github":"https://github.com/Blaizzy/mlx-embeddings","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}