Infini-Transformer (https://arxiv.org/abs/2404.07143) is a powerful and versatile transformer model designed for a wide range of natural language processing tasks. It leverages state-of-the-art techniques and architectures to achieve exceptional performance and scalability to infinite context lengths.
- Scalable architecture for handling long sequences
- Large-scale pre-training on diverse datasets
- Support for multiple downstream tasks, including text classification, question answering, and language generation
- Efficient fine-tuning for task-specific adaptation
To get started with Infini-Transformer:
- Clone the repository:
git clone https://github.com/dingo-actual/infini-transformer.gitThis project is licensed under the MIT License.
We would like to thank the researchers and developers whose work has inspired and contributed to the development of Infini-Transformer.
If you have any questions or need further assistance, please feel free to reach out to me at ryan@beta-reduce.net.