Woonhak-AllRounder

Introduction

Woonhak-AllRounder is a versatile model developed by MinLeo, hosted on Hugging Face. It is designed to handle a wide range of tasks effectively.

Architecture

Details about the architecture of Woonhak-AllRounder are not provided in the README. For specific information, users should refer to the model card or associated documentation on Hugging Face.

Training

The README does not include specifics about the training process for the Woonhak-AllRounder model. Users looking for training details should check the model card or the Hugging Face community discussions for more insights.

Guide: Running Locally

To run Woonhak-AllRounder locally, follow these steps:

1. Clone the Repository:

   git clone https://huggingface.co/MinLeo/Woonhak-AllRounder
   

2. Install Dependencies: Ensure you have Python and necessary libraries installed. You can use pip to install any additional dependencies listed in the repository.

3. Run the Model: Use the provided scripts or your own code to load and utilize the model. Refer to the Hugging Face documentation for guidance on loading models.

For enhanced performance, utilizing cloud GPUs such as those offered by Google Cloud Platform, AWS, or Azure can be beneficial.

License

Woonhak-AllRounder is licensed under the OpenRAIL license, which governs the use and distribution of the model. Users should review the license for compliance and usage guidelines.