SWITTI-1024-AR Model

Introduction

SWITTI-1024-AR is a machine learning model hosted on the Hugging Face Hub. Developed by Yandex Research, it utilizes the PyTorchModelHubMixin for seamless integration and usage within the Hugging Face ecosystem.

Architecture

The model operates using the PyTorch framework and is integrated with the Hugging Face Hub through the PyTorchModelHubMixin, which simplifies model sharing and deployment.

Training

Details regarding the training methodology, datasets, and parameters used for SWITTI-1024-AR are currently unavailable and require further documentation.

Guide: Running Locally

To run the SWITTI-1024-AR model locally, follow these basic steps:

1. Clone the model repository from Hugging Face.
2. Install necessary dependencies, including PyTorch.
3. Utilize the Hugging Face transformers library to load and run the model.

For optimal performance, consider using cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure.

License

Specific licensing information for SWITTI-1024-AR is not provided. Users should refer to the Hugging Face repository for any licensing terms or conditions.