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{
"_name_or_path": "facebook/convnext-tiny-224",
"architectures": [
"ConvNextForImageClassification"
],
"depths": [
3,
3,
9,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
96,
192,
384,
768
],
"id2label": {
"0": "calling",
"1": "clapping",
"2": "cycling",
"3": "dancing",
"4": "drinking",
"5": "eating",
"6": "fighting",
"7": "hugging",
"8": "laughing",
"9": "listening_to_music",
"10": "running",
"11": "sitting",
"12": "sleeping",
"13": "texting",
"14": "using_laptop"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"calling": 0,
"clapping": 1,
"cycling": 2,
"dancing": 3,
"drinking": 4,
"eating": 5,
"fighting": 6,
"hugging": 7,
"laughing": 8,
"listening_to_music": 9,
"running": 10,
"sitting": 11,
"sleeping": 12,
"texting": 13,
"using_laptop": 14
},
"layer_norm_eps": 1e-12,
"layer_scale_init_value": 1e-06,
"model_type": "convnext",
"num_channels": 3,
"num_stages": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.41.0"
}
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