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: 1,112 Bytes
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"safety": {
"label_to_id": {
"hot": 0,
"nsfw": 1,
"safe": 2
},
"labels": [
"hot",
"nsfw",
"safe"
]
},
"screen": {
"label_to_id": {
"audio": 0,
"calendar": 1,
"camera": 2,
"comments": 3,
"contacts": 4,
"email": 5,
"excel": 6,
"feed": 7,
"finances": 8,
"food": 9,
"gallery": 10,
"game": 11,
"generic": 12,
"maps": 13,
"message-chat": 14,
"message-list": 15,
"notes": 16,
"other": 17,
"post": 18,
"profile": 19,
"reading": 20,
"shopping": 21,
"streaming": 22,
"weather": 23
},
"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"
]
}
}
|