Pre-trained models are an important part of modern ML workflows, but it’s not always easy to find the best one for your needs. With the launch of Kaggle Models, we’re making thousands of models from Google Research, Deepmind, and other sources more accessible to the ML developer community alongside our ML resource hub of 200k+ public datasets. To showcase how to use Kaggle Models to improve ML projects, we’ll demo how to use an open source model from Kaggle and use it to submit to a competition. Resources: Kaggle Models → https://goo.gle/3MzI3HJ Demo Notebook → https://goo.gle/3UbR9fd TFHub + Kaggle blog post → https://goo.gle/40HpLZb Find full set of ML resources here → https://g.co/ai/build Speaker: Nate Keating Watch more: Watch all the Technical Sessions from Google I/O 2023 → https://goo.gle/IO23_sessions Watch the AI/ML Sessions → https://goo.gle/IO23_ai_ml All Google I/O 2023 Sessions → https://goo.gle/IO23_all Subscribe to TensorFlow → https://goo.gle/TensorFlow #GoogleIO Products mentioned: TensorFlow - General Event: Google I/O 2023 Speakers: Nate Keating