---
language: en
license: mit
library_name: keras
---

# Model Card for Model ID

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# Model Details

## Model Description

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['Canadian_Armed_Forces', 'United_Nations_Population_Fund', 'National_Archives_and_Records_Administration', 'Arena_Football_League', 'Ministry_of_Defence_(United_Kingdom)', 'Identity_(social_science)', 'Federal_Aviation_Administration', 'Military_history_of_the_United_States', 'Federal_Bureau_of_Investigation', 'Anti-aircraft_warfare', 'United_States_Army', 'Freemasonry', 'Nonprofit_organization', 'Affirmative_action_in_the_United_States', 'European_Central_Bank', 'Group_(mathematics)', 'Federalism', 'Central_Intelligence_Agency', 'Association_football', 'United_States_Air_Force']

- **Developed by:** nandysoham
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** mit
- **Finetuned from model [optional]:** [More Information Needed]

## Model Sources [optional]

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# Uses

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## Direct Use

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## Downstream Use [optional]

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## Out-of-Scope Use

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# Bias, Risks, and Limitations

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## Recommendations

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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

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# Training Details

## Training Data

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## Training Procedure [optional]

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### Preprocessing

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### Speeds, Sizes, Times

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# Evaluation

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## Testing Data, Factors & Metrics

### Testing Data

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### Factors

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### Metrics

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## Results

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### Summary



# Model Examination [optional]

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# Environmental Impact

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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]
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# Technical Specifications [optional]

## Model Architecture and Objective

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## Compute Infrastructure

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### Hardware

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### Software

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# Citation [optional]

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**BibTeX:**

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**APA:**

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# Glossary [optional]

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# More Information [optional]

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# Model Card Authors [optional]

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# Model Card Contact

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