Webinar: How to Ship DL Models to Production Faster with Better Performance

Fast and efficient inference plays a key role in the success of deep learning-based applications, especially when there’s a strict performance requirement such as in autonomous vehicles and IoT-enabled and mobile devices.

In most use cases, achieving real-time inference to deliver the best user experience is a must. With inference acceleration in the spotlight, watch the webinar to learn about:

  • The importance of inference performance
  • Challenges in deep learning inference
  • Factors that impact inference and how to improve them
  • Tips and best practices for accelerating inference performance

Do you want to accelerate the inference of your deep learning use case? Book a demo here.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

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

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