Updated Model card

Aesthetics ViT Large_model_card.md

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-# Model Card for Aesthetics ViT Large
-
-<!-- Provide a quick summary of what the model is/does. [Optional] -->
-Vision Transformer for Aesthetics Prediction
-
-
-
-
-# Table of Contents
-
-- [Model Card for Aesthetics ViT Large](#model-card-for--model_id-)
-- [Table of Contents](#table-of-contents)
-- [Table of Contents](#table-of-contents-1)
-- [Model Details](#model-details)
- - [Model Description](#model-description)
-- [Uses](#uses)
- - [Direct Use](#direct-use)
- - [Downstream Use [Optional]](#downstream-use-optional)
- - [Out-of-Scope Use](#out-of-scope-use)
-- [Bias, Risks, and Limitations](#bias-risks-and-limitations)
- - [Recommendations](#recommendations)
-- [Training Details](#training-details)
- - [Training Data](#training-data)
- - [Training Procedure](#training-procedure)
- - [Preprocessing](#preprocessing)
- - [Speeds, Sizes, Times](#speeds-sizes-times)
-- [Evaluation](#evaluation)
- - [Testing Data, Factors & Metrics](#testing-data-factors--metrics)
- - [Testing Data](#testing-data)
- - [Factors](#factors)
- - [Metrics](#metrics)
- - [Results](#results)
-- [Model Examination](#model-examination)
-- [Environmental Impact](#environmental-impact)
-- [Technical Specifications [optional]](#technical-specifications-optional)
- - [Model Architecture and Objective](#model-architecture-and-objective)
- - [Compute Infrastructure](#compute-infrastructure)
- - [Hardware](#hardware)
- - [Software](#software)
-- [Citation](#citation)
-- [Glossary [optional]](#glossary-optional)
-- [More Information [optional]](#more-information-optional)
-- [Model Card Authors [optional]](#model-card-authors-optional)
-- [Model Card Contact](#model-card-contact)
-- [How to Get Started with the Model](#how-to-get-started-with-the-model)
-
-
-# Model Details
-
-## Model Description
-
-<!-- Provide a longer summary of what this model is/does. -->
-Vision Transformer for Aesthetics Prediction
-
-- **Developed by:** More information needed
-- **Shared by [Optional]:** More information needed
-- **Model type:** Language model
-- **Language(s) (NLP):** en
-- **License:** apache-2.0
-- **Parent Model:** More information needed
-- **Resources for more information:** 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. -->
-<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info 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 -->
-<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
- 
-
-
-
-## Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
-
-
-
-
-# Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
-
-
-## Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-
-
-
-
-# Training Details
-
-## Training Data
-
-<!-- This should link to a Data 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 on training data 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
-
-More information needed
-
-### Speeds, Sizes, Times
-
-<!-- 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 Data 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
-
-# Model Examination
-
-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
-
-<!-- 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]
-
-<!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->
-
-More information needed
-
-# Model Card Contact
-
-More information needed
-
-# How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-<details>
-<summary> Click to expand </summary>
-
-More information needed
-
-</details>

README.md

@@ -1,3 +1,238 @@
 ---
 license: apache-2.0
 ---
+
+# Model Card for Aesthetics ViT Large
+
+<!-- Provide a quick summary of what the model is/does. [Optional] -->
+Vision Transformer for Aesthetics Prediction
+
+
+
+
+# Table of Contents
+
+- [Model Card for Aesthetics ViT Large](#model-card-for-aesthetics-vit-large)
+- [Table of Contents](#table-of-contents)
+- [Model Details](#model-details)
+ - [Model Description](#model-description)
+- [Uses](#uses)
+ - [Direct Use](#direct-use)
+ - [Downstream Use \[Optional\]](#downstream-use-optional)
+ - [Out-of-Scope Use](#out-of-scope-use)
+- [Bias, Risks, and Limitations](#bias-risks-and-limitations)
+ - [Recommendations](#recommendations)
+- [Training Details](#training-details)
+ - [Training Data](#training-data)
+ - [Training Procedure](#training-procedure)
+ - [Preprocessing](#preprocessing)
+ - [Speeds, Sizes, Times](#speeds-sizes-times)
+- [Evaluation](#evaluation)
+ - [Testing Data, Factors \& Metrics](#testing-data-factors--metrics)
+ - [Testing Data](#testing-data)
+ - [Factors](#factors)
+ - [Metrics](#metrics)
+ - [Results](#results)
+- [Model Examination](#model-examination)
+- [Environmental Impact](#environmental-impact)
+- [Technical Specifications \[optional\]](#technical-specifications-optional)
+ - [Model Architecture and Objective](#model-architecture-and-objective)
+ - [Compute Infrastructure](#compute-infrastructure)
+ - [Hardware](#hardware)
+ - [Software](#software)
+- [Citation](#citation)
+- [Glossary \[optional\]](#glossary-optional)
+- [More Information \[optional\]](#more-information-optional)
+- [Model Card Authors \[optional\]](#model-card-authors-optional)
+- [Model Card Contact](#model-card-contact)
+- [How to Get Started with the Model](#how-to-get-started-with-the-model)
+
+
+# Model Details
+
+## Model Description
+
+<!-- Provide a longer summary of what this model is/does. -->
+Vision Transformer for Aesthetics Prediction
+
+- **Developed by:** More information needed
+- **Shared by [Optional]:** More information needed
+- **Model type:** Language model
+- **Language(s) (NLP):** en
+- **License:** apache-2.0
+- **Parent Model:** More information needed
+- **Resources for more information:** 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. -->
+<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info 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 -->
+<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
+ 
+
+
+
+## Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+<!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." -->
+
+
+
+
+# Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
+
+
+## Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+
+
+
+
+# Training Details
+
+## Training Data
+
+<!-- This should link to a Data 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 on training data 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
+
+More information needed
+
+### Speeds, Sizes, Times
+
+<!-- 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 Data 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
+
+# Model Examination
+
+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
+
+<!-- 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]
+
+<!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. -->
+
+More information needed
+
+# Model Card Contact
+
+More information needed
+
+# How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+<details>
+<summary> Click to expand </summary>
+
+More information needed
+
+</details>