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README.md
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# Model Card for Model
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<!-- Provide a quick summary of what the model is/does. -->
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This modelcard aims to
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## Model Details
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- **Developed by:** [
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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# Model Card for a Machine Translation Model for Dyula to French
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<!-- Provide a quick summary of what the model is/does. -->
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This modelcard aims to provide information on how the Dyula to French machine translation built using Tf-Keras
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## Model Details
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- **Developed by:** [Adeptschneider]
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- **Model type:** [Transformer]
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- **Language(s) (NLP):** [Python]
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- **License:** [MIT]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Paper [optional]:** [https://arxiv.org/abs/1706.03762]
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## Uses
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[More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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