Feature Extraction
MLX
Safetensors
qwen3
embeddings
sentence-similarity
quantization
omlx
oq4
4-bit precision
Instructions to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Embedding-0.6B-MLX-oQ4 TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 133 Bytes
cca4bbd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a
size 11423705
|