| { | |
| "architectures": [ | |
| "DeiTModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "dtype": "float32", | |
| "encoder_stride": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 32, | |
| "image_size": 30, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 37, | |
| "is_decoder": false, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "deit", | |
| "num_attention_heads": 4, | |
| "num_channels": 3, | |
| "num_hidden_layers": 2, | |
| "patch_size": 2, | |
| "pooler_act": "tanh", | |
| "pooler_output_size": 32, | |
| "qkv_bias": true, | |
| "transformers_version": "5.16.0.dev0" | |
| } | |