zeta-mlx-embedding
Embedding model serving for Zeta MLX platform.
Installation
pip install zeta-mlx-embedding
Features
- OpenAI Compatible:
/v1/embeddingsendpoint - Multilingual: BGE-M3, E5-Large support
- High Dimension: 1024-dimensional embeddings
Supported Models
| Model | Dimension | Description |
|---|---|---|
| bge-m3 | 1024 | Korean/English optimized |
| multilingual-e5-large | 1024 | Multilingual |
| all-MiniLM-L6-v2 | 384 | Lightweight |
Usage
from zeta_mlx.embedding import EmbeddingEngine
engine = EmbeddingEngine("BAAI/bge-m3")
embeddings = engine.embed(["Hello", "안녕하세요"])
Links
1 maintainer
Metadata
1 maintainer
Release files for zeta-mlx-embedding 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zeta_mlx_embedding-0.3.2.tar.gz | 8.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zeta_mlx_embedding-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.9 kB
Release files / zeta_mlx_embedding-0.3.2.tar.gz
| Download URL | zeta_mlx_embedding-0.3.2.tar.gz |
|---|---|
| Size | 8.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / zeta_mlx_embedding-0.3.2-py3-none-any.whl
| Download URL | zeta_mlx_embedding-0.3.2-py3-none-any.whl |
|---|---|
| Size | 13.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
poetry/2.2.1 CPython/3.14.0 Darwin/25.1.0
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