{ "_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": "natural", "1": "lovelyromantic", "10": "koreanasia", "2": "modern", "3": "minimalsimple", "4": "northerneurope", "5": "vintageretro", "6": "unique", "7": "industrial", "8": "classicantique", "9": "frenchprovence" }, "image_size": 224, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "natural": "0", "lovelyromantic": "1", "modern": "2", "minimalsimple": "3", "northerneurope": "4", "vintageretro": "5", "unique": "6", "industrial": "7", "classicantique": "8", "frenchprovence": "9", "koreanasia": "10" }, "laye "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": "4.29.2" }