Upload ViTForImageClassification

README.md

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+---
+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

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "707-320",
+    "1": "727-200",
+    "2": "737-200",
+    "3": "737-300",
+    "4": "737-400",
+    "5": "737-500",
+    "6": "737-600",
+    "7": "737-700",
+    "8": "737-800",
+    "9": "737-900",
+    "10": "747-100",
+    "11": "747-200",
+    "12": "747-300",
+    "13": "747-400",
+    "14": "757-200",
+    "15": "757-300",
+    "16": "767-200",
+    "17": "767-300",
+    "18": "767-400",
+    "19": "777-200",
+    "20": "777-300",
+    "21": "A300B4",
+    "22": "A310",
+    "23": "A318",
+    "24": "A319",
+    "25": "A320",
+    "26": "A321",
+    "27": "A330-200",
+    "28": "A330-300",
+    "29": "A340-200",
+    "30": "A340-300",
+    "31": "A340-500",
+    "32": "A340-600",
+    "33": "A380",
+    "34": "ATR-42",
+    "35": "ATR-72",
+    "36": "An-12",
+    "37": "BAE 146-200",
+    "38": "BAE 146-300",
+    "39": "BAE-125",
+    "40": "Beechcraft 1900",
+    "41": "Boeing 717",
+    "42": "C-130",
+    "43": "C-47",
+    "44": "CRJ-200",
+    "45": "CRJ-700",
+    "46": "CRJ-900",
+    "47": "Cessna 172",
+    "48": "Cessna 208",
+    "49": "Cessna 525",
+    "50": "Cessna 560",
+    "51": "Challenger 600",
+    "52": "DC-10",
+    "53": "DC-3",
+    "54": "DC-6",
+    "55": "DC-8",
+    "56": "DC-9-30",
+    "57": "DH-82",
+    "58": "DHC-1",
+    "59": "DHC-6",
+    "60": "DHC-8-100",
+    "61": "DHC-8-300",
+    "62": "DR-400",
+    "63": "Dornier 328",
+    "64": "E-170",
+    "65": "E-190",
+    "66": "E-195",
+    "67": "EMB-120",
+    "68": "ERJ 135",
+    "69": "ERJ 145",
+    "70": "Embraer Legacy 600",
+    "71": "Eurofighter Typhoon",
+    "72": "F-16A/B",
+    "73": "F/A-18",
+    "74": "Falcon 2000",
+    "75": "Falcon 900",
+    "76": "Fokker 100",
+    "77": "Fokker 50",
+    "78": "Fokker 70",
+    "79": "Global Express",
+    "80": "Gulfstream IV",
+    "81": "Gulfstream V",
+    "82": "Hawk T1",
+    "83": "Il-76",
+    "84": "L-1011",
+    "85": "MD-11",
+    "86": "MD-80",
+    "87": "MD-87",
+    "88": "MD-90",
+    "89": "Metroliner",
+    "90": "Model B200",
+    "91": "PA-28",
+    "92": "SR-20",
+    "93": "Saab 2000",
+    "94": "Saab 340",
+    "95": "Spitfire",
+    "96": "Tornado",
+    "97": "Tu-134",
+    "98": "Tu-154",
+    "99": "Yak-42"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "707-320": 0,
+    "727-200": 1,
+    "737-200": 2,
+    "737-300": 3,
+    "737-400": 4,
+    "737-500": 5,
+    "737-600": 6,
+    "737-700": 7,
+    "737-800": 8,
+    "737-900": 9,
+    "747-100": 10,
+    "747-200": 11,
+    "747-300": 12,
+    "747-400": 13,
+    "757-200": 14,
+    "757-300": 15,
+    "767-200": 16,
+    "767-300": 17,
+    "767-400": 18,
+    "777-200": 19,
+    "777-300": 20,
+    "A300B4": 21,
+    "A310": 22,
+    "A318": 23,
+    "A319": 24,
+    "A320": 25,
+    "A321": 26,
+    "A330-200": 27,
+    "A330-300": 28,
+    "A340-200": 29,
+    "A340-300": 30,
+    "A340-500": 31,
+    "A340-600": 32,
+    "A380": 33,
+    "ATR-42": 34,
+    "ATR-72": 35,
+    "An-12": 36,
+    "BAE 146-200": 37,
+    "BAE 146-300": 38,
+    "BAE-125": 39,
+    "Beechcraft 1900": 40,
+    "Boeing 717": 41,
+    "C-130": 42,
+    "C-47": 43,
+    "CRJ-200": 44,
+    "CRJ-700": 45,
+    "CRJ-900": 46,
+    "Cessna 172": 47,
+    "Cessna 208": 48,
+    "Cessna 525": 49,
+    "Cessna 560": 50,
+    "Challenger 600": 51,
+    "DC-10": 52,
+    "DC-3": 53,
+    "DC-6": 54,
+    "DC-8": 55,
+    "DC-9-30": 56,
+    "DH-82": 57,
+    "DHC-1": 58,
+    "DHC-6": 59,
+    "DHC-8-100": 60,
+    "DHC-8-300": 61,
+    "DR-400": 62,
+    "Dornier 328": 63,
+    "E-170": 64,
+    "E-190": 65,
+    "E-195": 66,
+    "EMB-120": 67,
+    "ERJ 135": 68,
+    "ERJ 145": 69,
+    "Embraer Legacy 600": 70,
+    "Eurofighter Typhoon": 71,
+    "F-16A/B": 72,
+    "F/A-18": 73,
+    "Falcon 2000": 74,
+    "Falcon 900": 75,
+    "Fokker 100": 76,
+    "Fokker 50": 77,
+    "Fokker 70": 78,
+    "Global Express": 79,
+    "Gulfstream IV": 80,
+    "Gulfstream V": 81,
+    "Hawk T1": 82,
+    "Il-76": 83,
+    "L-1011": 84,
+    "MD-11": 85,
+    "MD-80": 86,
+    "MD-87": 87,
+    "MD-90": 88,
+    "Metroliner": 89,
+    "Model B200": 90,
+    "PA-28": 91,
+    "SR-20": 92,
+    "Saab 2000": 93,
+    "Saab 340": 94,
+    "Spitfire": 95,
+    "Tornado": 96,
+    "Tu-134": 97,
+    "Tu-154": 98,
+    "Yak-42": 99
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

model.safetensors

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+size 343525432