Instructions to use thoddnn/siglip2-base-patch16-224-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use thoddnn/siglip2-base-patch16-224-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download thoddnn/siglip2-base-patch16-224-8bit --local-dir siglip2-base-patch16-224-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 394 Bytes
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"do_convert_rgb": null,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
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],
"image_processor_type": "SiglipImageProcessor",
"image_std": [
0.5,
0.5,
0.5
],
"processor_class": "SiglipProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
}
}
|