{ "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] }