config.json

{
  "_attn_implementation_autoset": true,
  "_name_or_path": "hf-internal-testing/tiny-random-ResNetModel",
  "architectures": [
    "ResNetModel"
  ],
  "depths": [
    1,
    1,
    2,
    1
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "embeddings_size": 10,
  "hidden_act": "relu",
  "hidden_sizes": [
    10,
    20,
    30,
    40
  ],
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2"
  },
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_2": 2
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage2",
    "stage3",
    "stage4"
  ],
  "out_indices": [
    2,
    3,
    4
  ],
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "transformers_version": "4.48.2"
}