File size: 1,783 Bytes
9963352 bdcaca0 9963352 bdcaca0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
license: mit
language:
- pt
- en
library_name: keras
pipeline_tag: translation
---
# AIron-Trans-PT2EN
## License
- MIT
## Overview
AIron-Trans-PT2EN is a Portuguese to English translation model developed using the Keras library.
## Description
AIron-Trans-PT2EN is a translation model that allows you to translate phrases and texts from Portuguese to English. It has been trained using the Long Short-Term Memory (LSTM) neural network architecture and implemented using the Keras library.
## Features
- Translation from Portuguese to English
- Model trained using the Keras library
- LSTM architecture for better contextual understanding
- Text preprocessing for improved translation quality
## Usage
You can use this translation model in your own projects by following the instructions below:
1. Install the necessary dependencies (Keras, TensorFlow, etc.).
2. Load the trained model using the `load_model()` function from Keras.
3. Preprocess input sentences using the same preprocessing steps used during training.
4. Call the `translate_sentence()` function to get the translation of the input sentence.
Code example:
```python
from tensorflow import keras
# Load the model
model = keras.models.load_model('path/to/model.h5')
# Preprocess the input sentence
preprocessed_sentence = preprocess_sentence('Olá, como vai?')
# Translate the sentence
translated_sentence = translate_sentence(preprocessed_sentence, model)
print(translated_sentence)
```
## Contribution
If you encounter any issues, have ideas for improvements, or would like to contribute to this project, feel free to open an issue or submit a pull request. We welcome contributions!
## Acknowledgments
We would like to thank all contributors who helped develop and improve this translation model.
|