Instructions to use wisdomik/QuiltNet-B-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-16') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-16') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from wisdomik/QuiltNet-B-16: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/wisdomik/QuiltNet-B-16/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://wisdomik/QuiltNet-B-16@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/wisdomik/QuiltNet-B-16/resolve/refs%2Fpr%2F1/tokenizer.json
2.22 MB
File too large to display, you can check the raw version instead.