VishwamAI
VishwamAI is an advanced language model based on the Transformer architecture, designed for various natural language processing tasks.
Installation
Clone the repository:
git clone https://github.com/VishwamAI/chat-agent.git cd chat-agent
Install the required packages:
pip install -r requirements.txt
Usage
Training the model
To train the VishwamAI model, run:
python scripts/train.py
This script will load the configuration from configs/default_config.yaml
, initialize the model and datasets, and start the training process.
Generating text
To generate text using a trained model, use:
python scripts/generate_text.py --prompt "Your prompt here" --max_length 100
Evaluating the model
To evaluate the model on a test dataset, run:
python scripts/evaluate.py --test_file path/to/test/file.txt
Configuration
You can modify the model and training configuration by editing the configs/default_config.yaml
file.
Documentation
For more detailed information about the model architecture, training process, and API reference, please refer to the docs/
directory.
Contributing
Contributions to VishwamAI are welcome! Please refer to the CONTRIBUTING.md
file for guidelines on how to contribute to this project.
License
This project is licensed under the MIT License. See the LICENSE
file for details.
This structure and these files provide a solid foundation for your improved VishwamAI model. The code is more modular and organized, making it easier to maintain and extend. The README.md
file gives users an overview of how to use your model.
To use this improved version:
- Set up the folder structure as shown above.
- Copy the provided code into their respective files.
- Implement any missing functions (e.g., evaluation logic, text generation).
- Add necessary dependencies to
requirements.txt
. - Create appropriate documentation in the
docs/
directory.
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