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
File size: 673 Bytes
5bcd1fb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"architecture": "timm-spatial-flat-multitask",
"model": "timm/mobilenetv4_conv_medium.e250_r384_in12k",
"name": "Yap Phone Screenshot Classifier",
"outputs": [
"screen",
"safety"
],
"resize_longest_side_px": 1024,
"safety_labels": [
"hot",
"nsfw",
"safe"
],
"screen_labels": [
"audio",
"calendar",
"camera",
"comments",
"contacts",
"email",
"excel",
"feed",
"finances",
"food",
"gallery",
"game",
"generic",
"maps",
"message-chat",
"message-list",
"notes",
"other",
"post",
"profile",
"reading",
"shopping",
"streaming",
"weather"
]
}
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