Zero-Shot Image Classification
OpenCLIP
Safetensors
datology
clip
vision
OpenCLIP
datacomp
zero-shot-classification
Instructions to use DatologyAI/cls-opt-vit-b-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use DatologyAI/cls-opt-vit-b-32 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:DatologyAI/cls-opt-vit-b-32') tokenizer = open_clip.get_tokenizer('hf-hub:DatologyAI/cls-opt-vit-b-32') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e64d2d21aa083cb7b353a33710b87053b00af81b25556de2125252571614520b
- Size of remote file:
- 605 MB
- SHA256:
- d1c81751cdd7fd0a1898700c4a72ea02181ea47958f1947354b6c4209b6e48bc
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