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  1. config.json +268 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "google/vit-base-patch16-224-in21k",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "otterhound",
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+ "1": "cocker_spaniel",
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+ "2": "brittany_spaniel",
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+ "3": "afghan_hound",
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+ "4": "maltese_dog",
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+ "5": "schipperke",
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+ "6": "irish_setter",
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+ "7": "pekinese",
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+ "8": "golden_retriever",
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+ "9": "vizsla",
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+ "10": "welsh_springer_spaniel",
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+ "11": "staffordshire_bullterrier",
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+ "12": "border_collie",
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+ "13": "irish_terrier",
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+ "14": "eskimo_dog",
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+ "15": "pug",
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+ "16": "kelpie",
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+ "17": "yorkshire_terrier",
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+ "18": "tibetan_terrier",
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+ "19": "walker_hound",
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+ "20": "affenpinscher",
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+ "21": "cardigan",
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+ "22": "english_springer",
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+ "23": "english_foxhound",
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+ "24": "west_highland_white_terrier",
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+ "25": "lakeland_terrier",
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+ "26": "rhodesian_ridgeback",
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+ "27": "gordon_setter",
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+ "28": "lhasa",
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+ "29": "curly",
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+ "30": "beagle",
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+ "31": "tibetan_mastiff",
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+ "32": "sussex_spaniel",
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+ "33": "saint_bernard",
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+ "34": "toy_terrier",
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+ "35": "standard_poodle",
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+ "36": "bernese_mountain_dog",
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+ "37": "pomeranian",
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+ "38": "ibizan_hound",
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+ "39": "redbone",
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+ "40": "toy_poodle",
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+ "41": "basset",
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+ "42": "scottish_deerhound",
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+ "43": "miniature_pinscher",
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+ "44": "basenji",
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+ "45": "border_terrier",
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+ "46": "bedlington_terrier",
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+ "47": "kerry_blue_terrier",
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+ "48": "weimaraner",
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+ "49": "english_setter",
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+ "50": "bluetick",
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+ "51": "boston_bull",
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+ "52": "italian_greyhound",
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+ "53": "dandie_dinmont",
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+ "54": "airedale",
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+ "55": "irish_water_spaniel",
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+ "56": "norfolk_terrier",
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+ "57": "wire",
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+ "58": "french_bulldog",
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+ "59": "soft",
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+ "60": "komondor",
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+ "61": "african_hunting_dog",
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+ "62": "siberian_husky",
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+ "63": "newfoundland",
76
+ "64": "bouvier_des_flandres",
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+ "65": "saluki",
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+ "66": "shetland_sheepdog",
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+ "67": "collie",
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+ "68": "rottweiler",
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+ "69": "silky_terrier",
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+ "70": "norwegian_elkhound",
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+ "71": "chihuahua",
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+ "72": "leonberg",
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+ "73": "norwich_terrier",
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+ "74": "cairn",
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+ "75": "boxer",
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+ "76": "borzoi",
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+ "77": "dhole",
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+ "78": "samoyed",
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+ "79": "german_shepherd",
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+ "80": "labrador_retriever",
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+ "81": "blenheim_spaniel",
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+ "82": "groenendael",
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+ "83": "doberman",
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+ "84": "great_dane",
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+ "85": "flat",
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+ "86": "appenzeller",
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+ "87": "shih",
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+ "88": "japanese_spaniel",
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+ "89": "greater_swiss_mountain_dog",
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+ "90": "black",
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+ "91": "dingo",
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+ "92": "great_pyrenees",
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+ "93": "whippet",
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+ "94": "keeshond",
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+ "95": "malinois",
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+ "96": "american_staffordshire_terrier",
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+ "97": "mexican_hairless",
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+ "98": "giant_schnauzer",
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+ "99": "brabancon_griffon",
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+ "100": "kuvasz",
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+ "101": "miniature_poodle",
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+ "102": "irish_wolfhound",
115
+ "103": "briard",
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+ "104": "clumber",
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+ "105": "standard_schnauzer",
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+ "106": "bull_mastiff",
119
+ "107": "malamute",
120
+ "108": "sealyham_terrier",
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+ "109": "entlebucher",
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+ "110": "chow",
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+ "111": "papillon",
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+ "112": "pembroke",
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+ "113": "german_short",
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+ "114": "old_english_sheepdog",
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+ "115": "chesapeake_bay_retriever",
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+ "116": "scotch_terrier",
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+ "117": "australian_terrier",
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+ "118": "miniature_schnauzer",
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+ "119": "bloodhound"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "affenpinscher": 20,
138
+ "afghan_hound": 3,
139
+ "african_hunting_dog": 61,
140
+ "airedale": 54,
141
+ "american_staffordshire_terrier": 96,
142
+ "appenzeller": 86,
143
+ "australian_terrier": 117,
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+ "basenji": 44,
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+ "basset": 41,
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+ "beagle": 30,
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+ "bedlington_terrier": 46,
148
+ "bernese_mountain_dog": 36,
149
+ "black": 90,
150
+ "blenheim_spaniel": 81,
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+ "bloodhound": 119,
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+ "bluetick": 50,
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+ "border_collie": 12,
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+ "border_terrier": 45,
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+ "borzoi": 76,
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+ "boston_bull": 51,
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+ "bouvier_des_flandres": 64,
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+ "boxer": 75,
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+ "brabancon_griffon": 99,
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+ "briard": 103,
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+ "brittany_spaniel": 2,
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+ "bull_mastiff": 106,
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+ "cairn": 74,
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+ "cardigan": 21,
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+ "chesapeake_bay_retriever": 115,
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+ "chihuahua": 71,
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+ "chow": 110,
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+ "clumber": 104,
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+ "cocker_spaniel": 1,
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+ "collie": 67,
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+ "curly": 29,
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+ "dandie_dinmont": 53,
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+ "dhole": 77,
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+ "dingo": 91,
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+ "doberman": 83,
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+ "english_foxhound": 23,
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+ "english_setter": 49,
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+ "english_springer": 22,
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+ "entlebucher": 109,
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+ "eskimo_dog": 14,
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+ "flat": 85,
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+ "french_bulldog": 58,
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+ "german_shepherd": 79,
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+ "german_short": 113,
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+ "giant_schnauzer": 98,
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+ "golden_retriever": 8,
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+ "gordon_setter": 27,
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+ "great_dane": 84,
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+ "great_pyrenees": 92,
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+ "greater_swiss_mountain_dog": 89,
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+ "groenendael": 82,
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+ "ibizan_hound": 38,
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+ "irish_setter": 6,
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+ "irish_terrier": 13,
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+ "irish_water_spaniel": 55,
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+ "irish_wolfhound": 102,
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+ "italian_greyhound": 52,
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+ "japanese_spaniel": 88,
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+ "keeshond": 94,
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+ "kelpie": 16,
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+ "kerry_blue_terrier": 47,
202
+ "komondor": 60,
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+ "kuvasz": 100,
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+ "labrador_retriever": 80,
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+ "lakeland_terrier": 25,
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+ "leonberg": 72,
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+ "lhasa": 28,
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+ "malamute": 107,
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+ "malinois": 95,
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+ "maltese_dog": 4,
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+ "mexican_hairless": 97,
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+ "miniature_pinscher": 43,
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+ "miniature_poodle": 101,
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+ "miniature_schnauzer": 118,
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+ "newfoundland": 63,
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+ "norfolk_terrier": 56,
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+ "norwegian_elkhound": 70,
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+ "norwich_terrier": 73,
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+ "old_english_sheepdog": 114,
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+ "otterhound": 0,
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+ "papillon": 111,
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+ "pekinese": 7,
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+ "pembroke": 112,
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+ "pomeranian": 37,
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+ "pug": 15,
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+ "redbone": 39,
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+ "rhodesian_ridgeback": 26,
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+ "rottweiler": 68,
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+ "saint_bernard": 33,
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+ "saluki": 65,
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+ "samoyed": 78,
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+ "schipperke": 5,
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+ "scotch_terrier": 116,
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+ "scottish_deerhound": 42,
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+ "sealyham_terrier": 108,
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+ "shetland_sheepdog": 66,
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+ "shih": 87,
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+ "siberian_husky": 62,
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+ "silky_terrier": 69,
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+ "soft": 59,
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+ "staffordshire_bullterrier": 11,
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+ "standard_poodle": 35,
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+ "standard_schnauzer": 105,
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+ "sussex_spaniel": 32,
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+ "tibetan_mastiff": 31,
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+ "tibetan_terrier": 18,
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+ "toy_poodle": 40,
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+ "toy_terrier": 34,
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+ "vizsla": 9,
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+ "walker_hound": 19,
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+ "weimaraner": 48,
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+ "welsh_springer_spaniel": 10,
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+ "west_highland_white_terrier": 24,
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+ "whippet": 93,
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+ "wire": 57,
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+ "yorkshire_terrier": 17
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.28.1"
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+ }
pytorch_model.bin ADDED
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