feather -- a Python SDK to share and deploy models
This tool addresses the problem of model sharing and deployment for AI researchers and developers, though it is incremental as it builds on existing deployment concepts.
The paper introduced feather, a Python SDK enabling model developers to create shareable user interfaces for their models in under 20 lines of code, providing both a visual URL and an API endpoint for deployment.
At its core, feather was a tool that allowed model developers to build shareable user interfaces for their models in under 20 lines of code. Using the Python SDK, developers specified visual components that users would interact with. (e.g. a FileUpload component to allow users to upload a file). Our service then provided 1) a URL that allowed others to access and use the model visually via a user interface; 2) an API endpoint to allow programmatic requests to a model. In this paper, we discuss feather's motivations and the value we intended to offer AI researchers and developers. For example, the SDK can support multi-step models and can be extended to run automatic evaluation against held out datasets. We additionally provide comprehensive technical and implementation details. N.B. feather is presently a dormant project. We have open sourced our code for research purposes: https://github.com/feather-ai/