Am22000/image_classifier

1---2language:3- en4metrics:5- accuracy6pipeline_tag: image-classification7tags:8- PyTorch9- TensorBoard10- Transformers11- vit12- huggingpics13- model-index14license: apache-2.015datasets:16- laion/dalle-3-dataset17library_name: flair18---19# Model Card for Model ID20 21<!-- Provide a quick summary of what the model is/does. -->22 23This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).24 25## Model Details26 27### Model Description28 29<!-- Provide a longer summary of what this model is. -->30 31 32 33- **Developed by:** [More Information Needed]34- **Funded by [optional]:** [More Information Needed]35- **Shared by [optional]:** [More Information Needed]36- **Model type:** [More Information Needed]37- **Language(s) (NLP):** [More Information Needed]38- **License:** [More Information Needed]39- **Finetuned from model [optional]:** [More Information Needed]40 41### Model Sources [optional]42 43<!-- Provide the basic links for the model. -->44 45- **Repository:** [More Information Needed]46- **Paper [optional]:** [More Information Needed]47- **Demo [optional]:** [More Information Needed]48 49## Uses50 51<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->52 53### Direct Use54 55<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->56 57[More Information Needed]58 59### Downstream Use [optional]60 61<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->62 63[More Information Needed]64 65### Out-of-Scope Use66 67<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->68 69[More Information Needed]70 71## Bias, Risks, and Limitations72 73<!-- This section is meant to convey both technical and sociotechnical limitations. -->74 75[More Information Needed]76 77### Recommendations78 79<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->80 81Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.82 83## How to Get Started with the Model84 85Use the code below to get started with the model.86 87[More Information Needed]88 89## Training Details90 91### Training Data92 93<!-- 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. -->94 95[More Information Needed]96 97### Training Procedure 98 99<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->100 101#### Preprocessing [optional]102 103[More Information Needed]104 105 106#### Training Hyperparameters107 108- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->109 110#### Speeds, Sizes, Times [optional]111 112<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->113 114[More Information Needed]115 116## Evaluation117 118<!-- This section describes the evaluation protocols and provides the results. -->119 120### Testing Data, Factors & Metrics121 122#### Testing Data123 124<!-- This should link to a Dataset Card if possible. -->125 126[More Information Needed]127 128#### Factors129 130<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->131 132[More Information Needed]133 134#### Metrics135 136<!-- These are the evaluation metrics being used, ideally with a description of why. -->137 138[More Information Needed]139 140### Results141 142[More Information Needed]143 144#### Summary145 146 147 148## Model Examination [optional]149 150<!-- Relevant interpretability work for the model goes here -->151 152[More Information Needed]153 154## Environmental Impact155 156<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->157 158Carbon 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).159 160- **Hardware Type:** [More Information Needed]161- **Hours used:** [More Information Needed]162- **Cloud Provider:** [More Information Needed]163- **Compute Region:** [More Information Needed]164- **Carbon Emitted:** [More Information Needed]165 166## Technical Specifications [optional]167 168### Model Architecture and Objective169 170[More Information Needed]171 172### Compute Infrastructure173 174[More Information Needed]175 176#### Hardware177 178[More Information Needed]179 180#### Software181 182[More Information Needed]183 184## Citation [optional]185 186<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->187 188**BibTeX:**189 190[More Information Needed]191 192**APA:**193 194[More Information Needed]195 196## Glossary [optional]197 198<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->199 200[More Information Needed]201 202## More Information [optional]203 204[More Information Needed]205 206## Model Card Authors [optional]207 208[More Information Needed]209 210## Model Card Contact211 212[More Information Needed]