willow - Enable Rapid Inference with Willow Server

Introducing the Willow Inference Server

The release of the Willow Inference Server is an exciting development for users looking to engage in rapid language processing tasks. Developed to be self-hosted, it offers lightning-fast execution for a range of language inference applications. Users can now utilize this server to enhance Willow and other services, including WebRTC applications. Some of the notable capabilities include Speech-to-Text (STT), Text-to-Speech (TTS), and various Large Language Models (LLM).

Empowering Willow Users

For Willow enthusiasts, the introduction of this server means an enhanced level of control and customization over their language processing needs. As more users receive their hardware setups, they are encouraged to participate in the growing community discussions online. GitHub Discussions have been established as a central hub where users can share their experiences, discuss ideas, and troubleshoot any issues they might encounter. This collaborative environment ensures that everyone can contribute to and benefit from shared knowledge about using Willow effectively.

Community and Support

Willow’s community is rapidly growing across different forums and social media platforms. New and existing users are encouraged to introduce themselves and engage with the community on GitHub. This initiative is not just about answering technical questions or resolving issues, but also about creating a supportive space where all contributions help refine and enhance the Willow experience.

Accessing Documentation

For those looking to dive deeper into using Willow, comprehensive documentation is available on heywillow.io. This documentation provides essential information and guidance to help users maximize their Willow experience and exploit the full potential of the Willow Inference Server.

From the release of the server to fostering community support, these advancements mark an important step forward for the Willow project, making cutting-edge language processing more accessible and customizable for everyone.