For a quick start:
In order to download the most recently uploaded version, click the Download button in the top right of this page. You can also browse through other versions of this pre-trained model in the Version history tab.
To preview the contents of the download go to File Browser tab and select your version.
This model was trained using a script also available here in the NGC and on Github and executed in a container. We do not recommended to use this model without its corresponding model-script which contains the definition of the model architecture, preprocessing applied to the input data, as well as accuracy and performance results.
You can access the most recent model-script via NGC or GitHub.
You can support yourself with the steps described in the Quick Start Guide of the corresponding model-script. Note that you might want to skip some steps (eg. training - as you have just downloaded an already trained model).
Within the container and with the support of the model-script, you can evaluate your model and use it for inference. Refer to sub-sections on inference in the Quick Start Guide and Advanced tabs of the model-script
A few examples of what you can do with a pre-trained model are:
All available versions of this model were trained using corresponding model-scripts optimized for DGX usage. Although possible, usage of the model in different configurations is not supported.
"Model-script": a set of scripts containing the definition of the model architecture, training methods, preprocessing applied to the input data, as well as documentation covering usage and accuracy and performance results
"Model": a shorthand for (pre)trained-model, also used interchangeably with model checkpoint and model weights. It is a saved state of all the internal parameters of the model.
"Pre-trained model": see "Model"
"Trained model": see "Model"
"Model weights": see "Model"
"Checkpoint": see "Model"