{ "_name_or_path": "facebook/convnext-base-224-22k-1k", "architectures": [ "ConvNextForImageClassification" ], "depths": [ 3, 3, 27, 3 ], "drop_path_rate": 0.0, "hidden_act": "gelu", "hidden_sizes": [ 128, 256, 512, 1024 ], "id2label": { "0": "Abyssinian", "1": "American Bulldog", "2": "American Pit Bull Terrier", "3": "Basset Hound", "4": "Beagle", "5": "Bengal", "6": "Birman", "7": "Bombay", "8": "Boxer", "9": "British Shorthair", "10": "Chihuahua", "11": "Egyptian Mau", "12": "English Cocker Spaniel", "13": "English Setter", "14": "German Shorthaired", "15": "Great Pyrenees", "16": "Havanese", "17": "Japanese Chin", "18": "Keeshond", "19": "Leonberger", "20": "Maine Coon", "21": "Miniature Pinscher", "22": "Newfoundland", "23": "Persian", "24": "Pomeranian", "25": "Pug", "26": "Ragdoll", "27": "Russian Blue", "28": "Saint Bernard", "29": "Samoyed", "30": "Scottish Terrier", "31": "Shiba Inu", "32": "Siamese", "33": "Sphynx", "34": "Staffordshire Bull Terrier", "35": "Wheaten Terrier", "36": "Yorkshire Terrier" }, "image_size": 224, "initializer_range": 0.02, "label2id": { "Abyssinian": 0, "American Bulldog": 1, "American Pit Bull Terrier": 2, "Basset Hound": 3, "Beagle": 4, "Bengal": 5, "Birman": 6, "Bombay": 7, "Boxer": 8, "British Shorthair": 9, "Chihuahua": 10, "Egyptian Mau": 11, "English Cocker Spaniel": 12, "English Setter": 13, "German Shorthaired": 14, "Great Pyrenees": 15, "Havanese": 16, "Japanese Chin": 17, "Keeshond": 18, "Leonberger": 19, "Maine Coon": 20, "Miniature Pinscher": 21, "Newfoundland": 22, "Persian": 23, "Pomeranian": 24, "Pug": 25, "Ragdoll": 26, "Russian Blue": 27, "Saint Bernard": 28, "Samoyed": 29, "Scottish Terrier": 30, "Shiba Inu": 31, "Siamese": 32, "Sphynx": 33, "Staffordshire Bull Terrier": 34, "Wheaten Terrier": 35, "Yorkshire Terrier": 36 }, "layer_norm_eps": 1e-12, "layer_scale_init_value": 1e-06, "model_type": "convnext", "num_channels": 3, "num_stages": 4, "out_features": [ "stage4" ], "out_indices": [ 4 ], "patch_size": 4, "stage_names": [ "stem", "stage1", "stage2", "stage3", "stage4" ], "torch_dtype": "float32", "transformers_version": "4.38.2" }