Backprop is a serverless model platform that makes it simple for developers to use machine learning models in any application.
Each model is exposed as a private API that deploys with zero downtime, scales automatically, and requires no maintenance, enabling to focus on building great applications.
Using pre-trained models
When you Sign up, you'll have access to pre-trained models like GPT2, BERT, T5, CLIP.
These models are trained to perform various tasks in a zero-shot setting, from classifying images and text to generating stories.
As a criterion, our pre-trained models are trained to solve broad tasks, and not niche ones. It means you will find models that can classify text given any set of labels, but not models that can tell popular tweets apart from unpopular ones.
To solve your niche tasks, check out Deploying models.
Backprop is organised with a tasks first approach. First you pick a task you want to solve and then you select the appropriate model.
As an example, you may want to do the Text Classification task using a model optimised for English or for 100+ languages.
|Q&A||Answers questions given context||API Sandbox|
|Text Classification||Classifies text given labels||API Sandbox|
|Image Classification||Classifies images given labels||API Sandbox|
|Text Summarisation||Summarises long text||API Sandbox|
|Emotion detection||Detects emotions from text||API Sandbox|
|Text Generation||Generates text based on the given input text||API Sandbox|
|Text Vectorisation||Turns variable size text into a fixed size vector||API Sandbox|
|Image Vectorisation||Turns image into vector||API Sandbox|
|Custom||Use your deployed model as you see fit||API Sandbox|