Image Feature Extraction
OpenCLIP
Safetensors
English
fashion
image-retrieval
image-to-image
siglip
lookbench
embedding
distillation
Eval Results (legacy)
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
Download tokenizer.json from HopitAI/moda-fashion-distilled: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/HopitAI/moda-fashion-distilled/resolve/main/tokenizer.json
- Command line
-
hf download hf://HopitAI/moda-fashion-distilled/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/HopitAI/moda-fashion-distilled/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.