config.json

{
 "_name_or_path": "google/vit-hybrid-base-bit-384",
 "architectures": [
 "ViTHybridForImageClassification"
 ],
 "attention_probs_dropout_prob": 0.0,
 "backbone": null,
 "backbone_config": {
 "depths": [
 3,
 4,
 9
 ],
 "embedding_dynamic_padding": true,
 "global_padding": "SAME",
 "layer_type": "bottleneck",
 "model_type": "bit",
 "out_features": [
 "stage3"
 ],
 "out_indices": [
 3
 ],
 "stage_names": [
 "stem",
 "stage1",
 "stage2",
 "stage3"
 ]
 },
 "backbone_featmap_shape": [
 1,
 1024,
 24,
 24
 ],
 "backbone_kwargs": null,
 "hidden_act": "gelu",
 "hidden_dropout_prob": 0.0,
 "hidden_size": 768,
 "id2label": {
 "0": "negative",
 "1": "positive"
 },
 "image_size": 384,
 "initializer_range": 0.02,
 "intermediate_size": 3072,
 "label2id": {
 "negative": 0,
 "positive": 1
 },
 "layer_norm_eps": 1e-12,
 "model_type": "vit-hybrid",
 "num_attention_heads": 12,
 "num_channels": 3,
 "num_hidden_layers": 12,
 "patch_size": 1,
 "problem_type": "single_label_classification",
 "qkv_bias": true,
 "torch_dtype": "float32",
 "transformers_version": "4.38.2",
 "use_pretrained_backbone": false,
 "use_timm_backbone": false
}