Image Classification
timm
ONNX
Safetensors
mobile-screenshots
phone-screenshots
screenshot-analysis
content-safety
Instructions to use yapwithai/phone-screen-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use yapwithai/phone-screen-classifier with timm:
import timm model = timm.create_model("hf_hub:yapwithai/phone-screen-classifier", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a57a161b51163a5b27684dd7fb7a0c08a8843de5dd8dbd294018f6b0c394d842
- Size of remote file:
- 33.8 MB
- SHA256:
- 5577fd3b7f9e020044ef91d8ca710310304db065974783a1359be1458f4901c7
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