Instructions to use wisdomik/QuiltNet-B-16-PMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-16-PMB with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-16-PMB') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-16-PMB') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from wisdomik/QuiltNet-B-16-PMB: direct link, hf CLI and curl.
- Browser
- Download file 679 kB
-
https://huggingface.co/wisdomik/QuiltNet-B-16-PMB/resolve/main/tokenizer.json
- Command line
-
hf download hf://wisdomik/QuiltNet-B-16-PMB/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/wisdomik/QuiltNet-B-16-PMB/resolve/main/tokenizer.json
679 kB
File too large to display, you can check the raw version instead.