Instructions to use mlx-community/siglip2-base-patch16-224-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/siglip2-base-patch16-224-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download mlx-community/siglip2-base-patch16-224-8bit --local-dir siglip2-base-patch16-224-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download config.json from mlx-community/siglip2-base-patch16-224-8bit: direct link, hf CLI and curl.
- Browser
- Download file 351 Bytes
-
https://huggingface.co/mlx-community/siglip2-base-patch16-224-8bit/resolve/main/config.json
- Command line
-
hf download hf://mlx-community/siglip2-base-patch16-224-8bit/config.json
-
curl -L -o config.json https://huggingface.co/mlx-community/siglip2-base-patch16-224-8bit/resolve/main/config.json
351 Bytes
| { | |
| "initializer_factor": 1.0, | |
| "model_type": "siglip", | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 8 | |
| }, | |
| "text_config": { | |
| "model_type": "siglip_text_model", | |
| "vocab_size": 256000 | |
| }, | |
| "transformers_version": "4.49.0.dev0", | |
| "vision_config": { | |
| "model_type": "siglip_vision_model" | |
| } | |
| } |