Instructions to use SuryaKrishna02/swinv2-roberta-openclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use SuryaKrishna02/swinv2-roberta-openclip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:SuryaKrishna02/swinv2-roberta-openclip') tokenizer = open_clip.get_tokenizer('hf-hub:SuryaKrishna02/swinv2-roberta-openclip') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SuryaKrishna02/swinv2-roberta-openclip: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/SuryaKrishna02/swinv2-roberta-openclip/resolve/main/tokenizer.json
- Command line
-
hf download hf://SuryaKrishna02/swinv2-roberta-openclip/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SuryaKrishna02/swinv2-roberta-openclip/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.