| { | |
| "_name_or_path": "google/mobilenet_v2_1.0_224", | |
| "architectures": [ | |
| "MobileNetV2ForImageClassification" | |
| ], | |
| "classifier_dropout_prob": 0.2, | |
| "depth_divisible_by": 8, | |
| "depth_multiplier": 1.0, | |
| "expand_ratio": 6, | |
| "finegrained_output": true, | |
| "first_layer_is_expansion": true, | |
| "hidden_act": "relu6", | |
| "id2label": { | |
| "0": "beignets", | |
| "1": "bruschetta", | |
| "2": "chicken_wings", | |
| "3": "hamburger", | |
| "4": "pork_chop", | |
| "5": "prime_rib", | |
| "6": "ramen" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "beignets": 0, | |
| "bruschetta": 1, | |
| "chicken_wings": 2, | |
| "hamburger": 3, | |
| "pork_chop": 4, | |
| "prime_rib": 5, | |
| "ramen": 6 | |
| }, | |
| "layer_norm_eps": 0.001, | |
| "min_depth": 8, | |
| "model_type": "mobilenet_v2", | |
| "num_channels": 3, | |
| "output_stride": 32, | |
| "problem_type": "single_label_classification", | |
| "semantic_loss_ignore_index": 255, | |
| "tf_padding": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.35.2" | |
| } | |