Image Feature Extraction
OpenCLIP
Safetensors
English
fashion
image-retrieval
image-to-image
siglip
lookbench
embedding
distillation
Instructions to use HopitAI/moda-fashion-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use HopitAI/moda-fashion-distilled with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:HopitAI/moda-fashion-distilled') tokenizer = open_clip.get_tokenizer('hf-hub:HopitAI/moda-fashion-distilled') - Notebooks
- Google Colab
- Kaggle
File size: 398 Bytes
cf204dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"do_convert_rgb": true,
"image_processor_type": "SiglipImageProcessor",
"image_mean": [
0.5,
0.5,
0.5
],
"processor_class": "SiglipImageProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 224,
"width": 224
},
"image_std": [
0.5,
0.5,
0.5
]
} |