Instructions to use yaya36095/ai-source-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use yaya36095/ai-source-detector with timm:
import timm model = timm.create_model("hf_hub:yaya36095/ai-source-detector", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 814 Bytes
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"_name_or_path": "google/vit-base-patch16-224",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "stable_diffusion",
"1": "midjourney",
"2": "dalle",
"3": "real",
"4": "other_ai"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"dalle": 2,
"midjourney": 1,
"other_ai": 4,
"real": 3,
"stable_diffusion": 0
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 12,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"qkv_bias": true,
"transformers_version": "4.46.3"
}
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