Instructions to use davidfava/supir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use davidfava/supir with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:davidfava/supir') tokenizer = open_clip.get_tokenizer('hf-hub:davidfava/supir') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 292b8d452b4aca3fc79e999af98c7b5b026eacac1a144a5d3722f9d86428c177
- Size of remote file:
- 1.71 GB
- SHA256:
- 156f677ed4495acd1ec7197249c091b85c240267c82f2f7f2e4eae4177931fed
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