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-in21k",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Apple___Apple_scab",
+    "1": "Apple___Black_rot",
+    "2": "Apple___Cedar_apple_rust",
+    "3": "Apple___healthy",
+    "4": "Background_without_leaves",
+    "5": "Blueberry___healthy",
+    "6": "Cherry___Powdery_mildew",
+    "7": "Cherry___healthy",
+    "8": "Corn___Cercospora_leaf_spot Gray_leaf_spot",
+    "9": "Corn___Common_rust",
+    "10": "Corn___Northern_Leaf_Blight",
+    "11": "Corn___healthy",
+    "12": "Grape___Black_rot",
+    "13": "Grape___Esca_(Black_Measles)",
+    "14": "Grape___Leaf_blight_(Isariopsis_Leaf_Spot)",
+    "15": "Grape___healthy",
+    "16": "Orange___Haunglongbing_(Citrus_greening)",
+    "17": "Peach___Bacterial_spot",
+    "18": "Peach___healthy",
+    "19": "Pepper,_bell___Bacterial_spot",
+    "20": "Pepper,_bell___healthy",
+    "21": "Potato___Early_blight",
+    "22": "Potato___Late_blight",
+    "23": "Potato___healthy",
+    "24": "Raspberry___healthy",
+    "25": "Soybean___healthy",
+    "26": "Squash___Powdery_mildew",
+    "27": "Strawberry___Leaf_scorch",
+    "28": "Strawberry___healthy",
+    "29": "Tomato___Bacterial_spot",
+    "30": "Tomato___Early_blight",
+    "31": "Tomato___Late_blight",
+    "32": "Tomato___Leaf_Mold",
+    "33": "Tomato___Septoria_leaf_spot",
+    "34": "Tomato___Spider_mites Two-spotted_spider_mite",
+    "35": "Tomato___Target_Spot",
+    "36": "Tomato___Tomato_Yellow_Leaf_Curl_Virus",
+    "37": "Tomato___Tomato_mosaic_virus",
+    "38": "Tomato___healthy"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Apple___Apple_scab": 0,
+    "Apple___Black_rot": 1,
+    "Apple___Cedar_apple_rust": 2,
+    "Apple___healthy": 3,
+    "Background_without_leaves": 4,
+    "Blueberry___healthy": 5,
+    "Cherry___Powdery_mildew": 6,
+    "Cherry___healthy": 7,
+    "Corn___Cercospora_leaf_spot Gray_leaf_spot": 8,
+    "Corn___Common_rust": 9,
+    "Corn___Northern_Leaf_Blight": 10,
+    "Corn___healthy": 11,
+    "Grape___Black_rot": 12,
+    "Grape___Esca_(Black_Measles)": 13,
+    "Grape___Leaf_blight_(Isariopsis_Leaf_Spot)": 14,
+    "Grape___healthy": 15,
+    "Orange___Haunglongbing_(Citrus_greening)": 16,
+    "Peach___Bacterial_spot": 17,
+    "Peach___healthy": 18,
+    "Pepper,_bell___Bacterial_spot": 19,
+    "Pepper,_bell___healthy": 20,
+    "Potato___Early_blight": 21,
+    "Potato___Late_blight": 22,
+    "Potato___healthy": 23,
+    "Raspberry___healthy": 24,
+    "Soybean___healthy": 25,
+    "Squash___Powdery_mildew": 26,
+    "Strawberry___Leaf_scorch": 27,
+    "Strawberry___healthy": 28,
+    "Tomato___Bacterial_spot": 29,
+    "Tomato___Early_blight": 30,
+    "Tomato___Late_blight": 31,
+    "Tomato___Leaf_Mold": 32,
+    "Tomato___Septoria_leaf_spot": 33,
+    "Tomato___Spider_mites Two-spotted_spider_mite": 34,
+    "Tomato___Target_Spot": 35,
+    "Tomato___Tomato_Yellow_Leaf_Curl_Virus": 36,
+    "Tomato___Tomato_mosaic_virus": 37,
+    "Tomato___healthy": 38
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.1"
+}

model.safetensors

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