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README.md
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license: apache-2.0
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---
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#
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The model
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- Size: 42,554,912 parameters
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- Dataset: [`English-to-Portuguese`](https://www.kaggle.com/datasets/nageshsingh/englishportuguese-translation)
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- Languages: English, Portuguese
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- Number of Epochs: 15
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- Batch size: 32
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- Optimizer: rmsprop
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- Learning Rate: 0.001
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- Hardware: Tesla T4
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- This repository has the source [code used](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Intro%20Course/16_sequence_to_sequence.ipynb) to train this model.
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!pip install huggingface_hub["tensorflow"] -q
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from huggingface_hub import from_pretrained_keras
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--------------------------------------------------
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```
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# Cite as 🤗
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```
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@misc{teenytinycastle,
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license: apache-2.0
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# GRU-eng-por
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## Model Overview
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The GRU-eng-por model is a Recurrent Neural Network (RNN) for machine translation tasks (English-Portuguese).
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### Details
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- **Size:** 42,554,912 parameters
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- **Model type:** Recurrent neural network
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- **Optimizer**: `rmsprop`
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- **Number of Epochs:** 15
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- **Dimensionality of the embedding layer** = 256
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- **dimensionality of the feed-forward network** = 1024
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- **Hardware:** Tesla T4
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- **Emissions:** Not measured
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- **Total Energy Consumption:** Not measured
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### How to Use
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```python
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!pip install huggingface_hub["tensorflow"] -q
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from huggingface_hub import from_pretrained_keras
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--------------------------------------------------
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```
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# Cite as 🤗
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```
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@misc{teenytinycastle,
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