Instructions to use thaottn/OpenCLIP-resnet50-YFCC15M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use thaottn/OpenCLIP-resnet50-YFCC15M with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:thaottn/OpenCLIP-resnet50-YFCC15M') tokenizer = open_clip.get_tokenizer('hf-hub:thaottn/OpenCLIP-resnet50-YFCC15M') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from thaottn/OpenCLIP-resnet50-YFCC15M: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/thaottn/OpenCLIP-resnet50-YFCC15M/resolve/main/tokenizer.json
- Command line
-
hf download hf://thaottn/OpenCLIP-resnet50-YFCC15M/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/thaottn/OpenCLIP-resnet50-YFCC15M/resolve/main/tokenizer.json
2.22 MB
File too large to display, you can check the raw version instead.