Instructions to use TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ6 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-oQ6 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Embedding-0.6B-MLX-oQ6 TiGa-RCE/Qwen3-Embedding-0.6B-MLX-oQ6
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 313 Bytes
53774a0 | 1 2 3 4 5 6 7 8 9 10 | {
"word_embedding_dimension": 1024,
"pooling_mode_cls_token": false,
"pooling_mode_mean_tokens": false,
"pooling_mode_max_tokens": false,
"pooling_mode_mean_sqrt_len_tokens": false,
"pooling_mode_weightedmean_tokens": false,
"pooling_mode_lasttoken": true,
"include_prompt": true
} |