| { | |
| "_name_or_path": "AutoTrain", | |
| "architectures": [ | |
| "ViTForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "sin adecuaciones", | |
| "1": "tablero", | |
| "2": "tablero 2 medidores", | |
| "3": "tablero varios medidores" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "sin adecuaciones": "0", | |
| "tablero": "1", | |
| "tablero 2 medidores": "2", | |
| "tablero varios medidores": "3" | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_length": 128, | |
| "model_type": "vit", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "padding": "max_length", | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.25.1" | |
| } | |