config.json

{
  "architectures": [
    "RadioModel"
  ],
  "attention_probs_dropout_prob": 0.0,
  "drop_path_rate": 0.0,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 16,
  "image_size": 32,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-06,
  "layerscale_value": 1.0,
  "max_img_size": 32,
  "mlp_ratio": 2.0,
  "model_type": "radio",
  "norm_mean": [
    0.48145466,
    0.4578275,
    0.40821073
  ],
  "norm_std": [
    0.26862954,
    0.26130258,
    0.27577711
  ],
  "num_attention_heads": 2,
  "num_channels": 3,
  "num_cls_tokens": 2,
  "num_hidden_layers": 2,
  "num_registers": 3,
  "patch_size": 4,
  "qkv_bias": true,
  "summary_idxs": [
    0,
    1
  ],
  "transformers_version": "5.16.0.dev0",
  "use_swiglu_ffn": false
}