Models
Overview of machine learning Models in Gradient
Last updated
Overview of machine learning Models in Gradient
Last updated
The Gradient model repository is a hub for importing, managing, and deploying ML models.
Gradient Models can be created in two ways:
Generate models from your workloads i.e. Workflows or Notebooks
Import into Gradient by uploading them directly from the Web UI or CLI. Learn more .
Supported Model formats:
ONNX (Open Neural Network Exchange)
Custom
Gradient has a repository of Models per . The model repository holds reference to the model artifacts (files generated during training) as well as optional summary metrics associated with the model's performance such as accuracy and loss.
