config.json

{
  "_name_or_path": "tiny_models/efficientformer/EfficientFormerModel",
  "architectures": [
    "EfficientFormerModel"
  ],
  "attention_probs_dropout_prob": 0.1,
  "attention_ratio": 4,
  "batch_norm_eps": 1e-05,
  "depths": [
    2,
    2,
    2,
    2
  ],
  "dim": 128,
  "distillation": true,
  "downsample_pad": 1,
  "downsample_patch_size": 3,
  "downsample_stride": 2,
  "downsamples": [
    true,
    true,
    true,
    true
  ],
  "drop_path_rate": 0.0,
  "encoder_stride": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 128,
  "hidden_sizes": [
    16,
    32,
    64,
    128
  ],
  "image_size": 64,
  "initializer_range": 0.02,
  "intermediate_size": 37,
  "key_dim": 32,
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 1e-05,
  "mlp_expansion_ratio": 2,
  "model_type": "efficientformer",
  "num_attention_heads": 4,
  "num_channels": 3,
  "num_hidden_layers": 7,
  "num_meta3d_blocks": 1,
  "patch_size": 2,
  "pool_size": 3,
  "resolution": 2,
  "torch_dtype": "float32",
  "transformers_version": "4.30.0.dev0",
  "use_layer_scale": true
}