config.json

{
  "architectures": [
    "MedMCLIP"
  ],
  "dropout_rate": 0.0,
  "frame_patch_size": 4,
  "frame_size": 32,
  "gather_loss": true,
  "hidden_size": 768,
  "image_mlp_dim": 3072,
  "image_num_heads": 12,
  "image_num_layers": 12,
  "image_patch_size": 16,
  "image_size": 256,
  "language_model_name_or_path": "google-bert/bert-base-uncased",
  "local_loss": false,
  "model_type": "medm-pretrain",
  "torch_dtype": "float32",
  "transformers_version": "4.49.0",
  "img_size": [32, 256, 256],
  "patch_size": [4, 16, 16]
}