| { | |
| "apply_layernorm": true, | |
| "architectures": [ | |
| "Dinov2Model" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "block_chunks": 4, | |
| "drop_path_rate": 0.0, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1536, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-06, | |
| "layerscale_value": 1.0, | |
| "mlp_ratio": 4, | |
| "model_type": "dinov2", | |
| "num_attention_heads": 24, | |
| "num_channels": 3, | |
| "num_hidden_layers": 40, | |
| "num_layers_per_block": 10, | |
| "out_features": [ | |
| "stage40" | |
| ], | |
| "out_indices": [ | |
| 40 | |
| ], | |
| "patch_size": 14, | |
| "qkv_bias": true, | |
| "reshape_hidden_states": true, | |
| "stage_names": [ | |
| "stem", | |
| "stage1", | |
| "stage2", | |
| "stage3", | |
| "stage4", | |
| "stage5", | |
| "stage6", | |
| "stage7", | |
| "stage8", | |
| "stage9", | |
| "stage10", | |
| "stage11", | |
| "stage12", | |
| "stage13", | |
| "stage14", | |
| "stage15", | |
| "stage16", | |
| "stage17", | |
| "stage18", | |
| "stage19", | |
| "stage20", | |
| "stage21", | |
| "stage22", | |
| "stage23", | |
| "stage24", | |
| "stage25", | |
| "stage26", | |
| "stage27", | |
| "stage28", | |
| "stage29", | |
| "stage30", | |
| "stage31", | |
| "stage32", | |
| "stage33", | |
| "stage34", | |
| "stage35", | |
| "stage36", | |
| "stage37", | |
| "stage38", | |
| "stage39", | |
| "stage40" | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.2", | |
| "use_swiglu_ffn": true | |
| } | |