Create an API endpoint for a model
When you deploy a model on Baseten, you can invoke it via an API right away. This saves you the effort of building and deploying a model server in Flask or Django, making it faster to interact with models. But in production use cases, you often need to wrap model invocation in parsing and business logic for the model to be useful.
Building a data labeler with Baseten
Working closely with users in our closed beta, we’ve repeatedly heard that users need to label data to train their models, often before they even have a model. Baseten helps here too! Data scientists can use Baseten to quickly build an API and craft UI for a user-facing data-labeling app...