{ "_name_or_path": "AutoTrain", "architectures": [ "SwinForImageClassification" ], "attention_probs_dropout_prob": 0.0, "depths": [ 2, 2, 18, 2 ], "drop_path_rate": 0.1, "embed_dim": 128, "encoder_stride": 32, "hidden_act": "gelu", "hidden_dropout_prob": 0.0, "hidden_size": 1024, "id2label": { "0": "Cat", "1": "Dog" }, "image_size": 224, "initializer_range": 0.02, "label2id": { "Cat": "0", "Dog": "1" }, "layer_norm_eps": 1e-05, "max_length": 128, "mlp_ratio": 4.0, "model_type": "swin", "num_channels": 3, "num_heads": [ 4, 8, 16, 32 ], "num_layers": 4, "padding": "max_length", "patch_size": 4, "path_norm": true, "problem_type": "single_label_classification", "qkv_bias": true, "torch_dtype": "float32", "transformers_version": "4.22.1", "use_absolute_embeddings": false, "window_size": 7 }