Zero-Shot Image Classification
OpenCLIP
Safetensors
datology
clip
vision
OpenCLIP
datacomp
image-text-retrieval
multimodal
Instructions to use DatologyAI/retr-opt-vit-b-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use DatologyAI/retr-opt-vit-b-32 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:DatologyAI/retr-opt-vit-b-32') tokenizer = open_clip.get_tokenizer('hf-hub:DatologyAI/retr-opt-vit-b-32') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ccb080606b65f22628d9e52c770ea57ce291a7117573735230fe7fff2682361
- Size of remote file:
- 605 MB
- SHA256:
- 46f23b2d4dbc3da8c19ff4fe515aa569bb5793e78bdfd900da5405aaa75ee5ac
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