Upload ViTForImageClassification

README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

config.json

@@ -0,0 +1,356 @@
+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "dtype": "float32",
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Abyssinian",
+    "1": "Afghan_hound",
+    "2": "African_hunting_dog",
+    "3": "Airedale",
+    "4": "American_Staffordshire_terrier",
+    "5": "Appenzeller",
+    "6": "Australian_terrier",
+    "7": "Bedlington_terrier",
+    "8": "Bengal",
+    "9": "Bernese_mountain_dog",
+    "10": "Birman",
+    "11": "Blenheim_spaniel",
+    "12": "Bombay",
+    "13": "Border_collie",
+    "14": "Border_terrier",
+    "15": "Boston_bull",
+    "16": "Bouvier_des_Flandres",
+    "17": "Brabancon_griffon",
+    "18": "British Shorthair",
+    "19": "Brittany_spaniel",
+    "20": "Cardigan",
+    "21": "Chesapeake_Bay_retriever",
+    "22": "Chihuahua",
+    "23": "Dandie_Dinmont",
+    "24": "Doberman",
+    "25": "Egyptian Mau",
+    "26": "English_foxhound",
+    "27": "English_setter",
+    "28": "English_springer",
+    "29": "EntleBucher",
+    "30": "Eskimo_dog",
+    "31": "French_bulldog",
+    "32": "German_shepherd",
+    "33": "German_short-haired_pointer",
+    "34": "Gordon_setter",
+    "35": "Great_Dane",
+    "36": "Great_Pyrenees",
+    "37": "Greater_Swiss_Mountain_dog",
+    "38": "Ibizan_hound",
+    "39": "Irish_setter",
+    "40": "Irish_terrier",
+    "41": "Irish_water_spaniel",
+    "42": "Irish_wolfhound",
+    "43": "Italian_greyhound",
+    "44": "Japanese_spaniel",
+    "45": "Kerry_blue_terrier",
+    "46": "Labrador_retriever",
+    "47": "Lakeland_terrier",
+    "48": "Leonberg",
+    "49": "Lhasa",
+    "50": "Maine Coon",
+    "51": "Maltese_dog",
+    "52": "Mexican_hairless",
+    "53": "Newfoundland",
+    "54": "Norfolk_terrier",
+    "55": "Norwegian_elkhound",
+    "56": "Norwich_terrier",
+    "57": "Old_English_sheepdog",
+    "58": "Pekinese",
+    "59": "Pembroke",
+    "60": "Persian",
+    "61": "Pomeranian",
+    "62": "Ragdoll",
+    "63": "Rhodesian_ridgeback",
+    "64": "Rottweiler",
+    "65": "Russian Blue",
+    "66": "Saint_Bernard",
+    "67": "Saluki",
+    "68": "Samoyed",
+    "69": "Scotch_terrier",
+    "70": "Scottish_deerhound",
+    "71": "Sealyham_terrier",
+    "72": "Shetland_sheepdog",
+    "73": "Shih-Tzu",
+    "74": "Siamese",
+    "75": "Siberian_husky",
+    "76": "Sphynx",
+    "77": "Staffordshire_bullterrier",
+    "78": "Sussex_spaniel",
+    "79": "Tibetan_mastiff",
+    "80": "Tibetan_terrier",
+    "81": "Walker_hound",
+    "82": "Weimaraner",
+    "83": "Welsh_springer_spaniel",
+    "84": "West_Highland_white_terrier",
+    "85": "Yorkshire_terrier",
+    "86": "affenpinscher",
+    "87": "american bulldog",
+    "88": "american pit bull terrier",
+    "89": "basenji",
+    "90": "basset",
+    "91": "basset hound",
+    "92": "beagle",
+    "93": "black-and-tan_coonhound",
+    "94": "bloodhound",
+    "95": "bluetick",
+    "96": "borzoi",
+    "97": "boxer",
+    "98": "briard",
+    "99": "bull_mastiff",
+    "100": "butterfly",
+    "101": "cairn",
+    "102": "cat",
+    "103": "chicken",
+    "104": "chihuahua",
+    "105": "chow",
+    "106": "clumber",
+    "107": "cocker_spaniel",
+    "108": "collie",
+    "109": "cow",
+    "110": "curly-coated_retriever",
+    "111": "dhole",
+    "112": "dingo",
+    "113": "dog",
+    "114": "elephant",
+    "115": "english cocker spaniel",
+    "116": "english setter",
+    "117": "flat-coated_retriever",
+    "118": "german shorthaired",
+    "119": "giant_schnauzer",
+    "120": "golden_retriever",
+    "121": "great pyrenees",
+    "122": "groenendael",
+    "123": "havanese",
+    "124": "horse",
+    "125": "japanese chin",
+    "126": "keeshond",
+    "127": "kelpie",
+    "128": "komondor",
+    "129": "kuvasz",
+    "130": "leonberger",
+    "131": "malamute",
+    "132": "malinois",
+    "133": "miniature pinscher",
+    "134": "miniature_pinscher",
+    "135": "miniature_poodle",
+    "136": "miniature_schnauzer",
+    "137": "newfoundland",
+    "138": "otterhound",
+    "139": "papillon",
+    "140": "pomeranian",
+    "141": "pug",
+    "142": "redbone",
+    "143": "saint bernard",
+    "144": "samoyed",
+    "145": "schipperke",
+    "146": "scottish terrier",
+    "147": "sheep",
+    "148": "shiba inu",
+    "149": "silky_terrier",
+    "150": "soft-coated_wheaten_terrier",
+    "151": "spider",
+    "152": "squirrel",
+    "153": "staffordshire bull terrier",
+    "154": "standard_poodle",
+    "155": "standard_schnauzer",
+    "156": "toy_poodle",
+    "157": "toy_terrier",
+    "158": "vizsla",
+    "159": "wheaten terrier",
+    "160": "whippet",
+    "161": "wire-haired_fox_terrier",
+    "162": "yorkshire terrier"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Abyssinian": 0,
+    "Afghan_hound": 1,
+    "African_hunting_dog": 2,
+    "Airedale": 3,
+    "American_Staffordshire_terrier": 4,
+    "Appenzeller": 5,
+    "Australian_terrier": 6,
+    "Bedlington_terrier": 7,
+    "Bengal": 8,
+    "Bernese_mountain_dog": 9,
+    "Birman": 10,
+    "Blenheim_spaniel": 11,
+    "Bombay": 12,
+    "Border_collie": 13,
+    "Border_terrier": 14,
+    "Boston_bull": 15,
+    "Bouvier_des_Flandres": 16,
+    "Brabancon_griffon": 17,
+    "British Shorthair": 18,
+    "Brittany_spaniel": 19,
+    "Cardigan": 20,
+    "Chesapeake_Bay_retriever": 21,
+    "Chihuahua": 22,
+    "Dandie_Dinmont": 23,
+    "Doberman": 24,
+    "Egyptian Mau": 25,
+    "English_foxhound": 26,
+    "English_setter": 27,
+    "English_springer": 28,
+    "EntleBucher": 29,
+    "Eskimo_dog": 30,
+    "French_bulldog": 31,
+    "German_shepherd": 32,
+    "German_short-haired_pointer": 33,
+    "Gordon_setter": 34,
+    "Great_Dane": 35,
+    "Great_Pyrenees": 36,
+    "Greater_Swiss_Mountain_dog": 37,
+    "Ibizan_hound": 38,
+    "Irish_setter": 39,
+    "Irish_terrier": 40,
+    "Irish_water_spaniel": 41,
+    "Irish_wolfhound": 42,
+    "Italian_greyhound": 43,
+    "Japanese_spaniel": 44,
+    "Kerry_blue_terrier": 45,
+    "Labrador_retriever": 46,
+    "Lakeland_terrier": 47,
+    "Leonberg": 48,
+    "Lhasa": 49,
+    "Maine Coon": 50,
+    "Maltese_dog": 51,
+    "Mexican_hairless": 52,
+    "Newfoundland": 53,
+    "Norfolk_terrier": 54,
+    "Norwegian_elkhound": 55,
+    "Norwich_terrier": 56,
+    "Old_English_sheepdog": 57,
+    "Pekinese": 58,
+    "Pembroke": 59,
+    "Persian": 60,
+    "Pomeranian": 61,
+    "Ragdoll": 62,
+    "Rhodesian_ridgeback": 63,
+    "Rottweiler": 64,
+    "Russian Blue": 65,
+    "Saint_Bernard": 66,
+    "Saluki": 67,
+    "Samoyed": 68,
+    "Scotch_terrier": 69,
+    "Scottish_deerhound": 70,
+    "Sealyham_terrier": 71,
+    "Shetland_sheepdog": 72,
+    "Shih-Tzu": 73,
+    "Siamese": 74,
+    "Siberian_husky": 75,
+    "Sphynx": 76,
+    "Staffordshire_bullterrier": 77,
+    "Sussex_spaniel": 78,
+    "Tibetan_mastiff": 79,
+    "Tibetan_terrier": 80,
+    "Walker_hound": 81,
+    "Weimaraner": 82,
+    "Welsh_springer_spaniel": 83,
+    "West_Highland_white_terrier": 84,
+    "Yorkshire_terrier": 85,
+    "affenpinscher": 86,
+    "american bulldog": 87,
+    "american pit bull terrier": 88,
+    "basenji": 89,
+    "basset": 90,
+    "basset hound": 91,
+    "beagle": 92,
+    "black-and-tan_coonhound": 93,
+    "bloodhound": 94,
+    "bluetick": 95,
+    "borzoi": 96,
+    "boxer": 97,
+    "briard": 98,
+    "bull_mastiff": 99,
+    "butterfly": 100,
+    "cairn": 101,
+    "cat": 102,
+    "chicken": 103,
+    "chihuahua": 104,
+    "chow": 105,
+    "clumber": 106,
+    "cocker_spaniel": 107,
+    "collie": 108,
+    "cow": 109,
+    "curly-coated_retriever": 110,
+    "dhole": 111,
+    "dingo": 112,
+    "dog": 113,
+    "elephant": 114,
+    "english cocker spaniel": 115,
+    "english setter": 116,
+    "flat-coated_retriever": 117,
+    "german shorthaired": 118,
+    "giant_schnauzer": 119,
+    "golden_retriever": 120,
+    "great pyrenees": 121,
+    "groenendael": 122,
+    "havanese": 123,
+    "horse": 124,
+    "japanese chin": 125,
+    "keeshond": 126,
+    "kelpie": 127,
+    "komondor": 128,
+    "kuvasz": 129,
+    "leonberger": 130,
+    "malamute": 131,
+    "malinois": 132,
+    "miniature pinscher": 133,
+    "miniature_pinscher": 134,
+    "miniature_poodle": 135,
+    "miniature_schnauzer": 136,
+    "newfoundland": 137,
+    "otterhound": 138,
+    "papillon": 139,
+    "pomeranian": 140,
+    "pug": 141,
+    "redbone": 142,
+    "saint bernard": 143,
+    "samoyed": 144,
+    "schipperke": 145,
+    "scottish terrier": 146,
+    "sheep": 147,
+    "shiba inu": 148,
+    "silky_terrier": 149,
+    "soft-coated_wheaten_terrier": 150,
+    "spider": 151,
+    "squirrel": 152,
+    "staffordshire bull terrier": 153,
+    "standard_poodle": 154,
+    "standard_schnauzer": 155,
+    "toy_poodle": 156,
+    "toy_terrier": 157,
+    "vizsla": 158,
+    "wheaten terrier": 159,
+    "whippet": 160,
+    "wire-haired_fox_terrier": 161,
+    "yorkshire terrier": 162
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a67e4ae6b274db5e8457738c7b83ae6b917adc7219a05a8bdd8fc9ae807ab05c
+size 343719220