When you get a working model, export it and deploy it wherever you want
A lot of the projects we’ve seen have an end goal of deploying a model on edge. For many sectors, that’s a hard requirement for building their business applications. With Hasty, you can take any model you create and export it out of our ecosystem in a scripted format.
So even if you live on the edge, you can use cloud-based software to develop your models.
Most of the teams we meet either use PyTorch or TensorFlow. We support model exports in both formats so that whatever your tech stack is, you can use us.
Using a cloud-based inference engine service has its advantages, but what will always be true is that you will pay for the privilege. By exporting your models, you can control your costs and optimize according to need.
Are you looking to get your model ready for production? In Model Playground, you can quantize and prune your models to minimize the footprint while getting the same great results.
“Before discovering Hasty, labeling images was labor intensive, time-consuming, less accurate, and progression through the groundwork to build our AI detection model was much more frustrating. Hasty’s approach of training the model while labeling with faster annotate-test cycles has saved Audere countless hours. The speed and ease of use have allowed us to accelerate our mission to improve global health in the world’s most underserved communities.”