Instructions to use chill112/UNI-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use chill112/UNI-fixed with timm:
import timm model = timm.create_model("hf_hub:chill112/UNI-fixed", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 552 Bytes
34dac7f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"_comment": "Preprocessor configuration for mahmoodlab/UNI (image encoder). Optimized for image understanding tasks.",
"feature_extractor_type": "ImageFeatureExtractor",
"model_input_name": "pixel_values",
"do_resize": true,
"do_center_crop": true,
"do_normalize": true,
"do_convert_rgb": true,
"size": {
"shortest_edge": 224
},
"crop_size": {
"height": 224,
"width": 224
},
"image_mean": [0.485, 0.456, 0.406],
"image_std": [0.229, 0.224, 0.225],
"resample": 2,
"format": "RGB",
"reduce_labels": false
}
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