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Lstmmodel
Deepu2672/Lstmmodel
Lstmmodel is a machine learning model from Deepu2672. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains a Jupyter Notebook implementation of an LSTM-based translation model. The project leverages Long Short-Term Memory networks to perform sequence-to-sequence tasks, such as language translation…
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Updated Nov 16, 2024
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 16, 2024
- Updated
- Nov 16, 2024
- SHA
- 19ce3e15
Model card
From the Hugging Face model README
LSTM Translator
This repository contains a Jupyter Notebook implementation of an LSTM-based translation model. The project leverages Long Short-Term Memory networks to perform sequence-to-sequence tasks, such as language translation or similar natural language processing (NLP) tasks.
Features
- Implementation of an LSTM model for sequence processing.
- Preprocessing steps for handling text data.
- Training and evaluation workflows.
- Model performance insights through loss tracking and visualization.
Prerequisites
Before running the notebook, ensure you have the following installed:
- Python 3.7+
- Jupyter Notebook
- TensorFlow or PyTorch (based on the framework used)
- Required Python libraries (listed in the requirements.txt file, if available)
How to Use
- Clone this repository:
git clone https://github.com/your-username/lstm-translator.git cd lstm-translator
- License
- mit
- Created
- Nov 16, 2024
- Updated
- Nov 16, 2024