{"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"],"install":[{"cmd":"pip install mlx-embeddings","imports":["from mlx_embeddings import TextEmbedding"]}],"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,"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}