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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": "LLA",
"1": "folicular",
"2": "linfos normales",
"3": "llc",
"4": "marginal",
"5": "mononucleosis",
"6": "trico"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"LLA": "0",
"folicular": "1",
"linfos normales": "2",
"llc": "3",
"marginal": "4",
"mononucleosis": "5",
"trico": "6"
},
"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": "4.35.2"
}
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