Webinar: Engineering Best Practices for DL Deployment on NVIDIA Jetson Devices

Jetson is a popular family of edge hardware. In this webinar, our deep learning software engineer, Avi Lumelsky, shares engineering best practices for model deployment on Jetson. In particular, you’ll learn how to:

  • Work on Jetson and try things out the way you would on the cloud
  • Easily deploy your models on Jetson, while maximizing performance and minimizing costs
  • Optimize for better performance, find the most cost-effective production parameters, and conduct comprehensive testing

After watching the webinar, you can go ahead and optimize your models for Jetson using the free community version of Deci’s deep learning platform.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")