As a user of AI Notebooks/data scientist,
I would like to understand how to fine-tune a model in a notebook, convert and export it in ONNX (Open Neural Network Exchange) format
in order to optimize its future inference and maximize its performance across hardware.
Acceptance criteria
I have access to a tutorial to learn how to convert a model to ONNX format and export it from inside a notebook after having fine-tuned it
Code is available on OVHcloud Official AI Repository on Github and in the notebook itself as an example
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User story
As a user of AI Notebooks/data scientist, I would like to understand how to fine-tune a model in a notebook, convert and export it in ONNX (Open Neural Network Exchange) format
in order to optimize its future inference and maximize its performance across hardware.
Acceptance criteria
Follow, vote and give your feedback
You can follow this task with the notification on the right tab. Ask us anything here in the comments below, and vote with emojis for most requested items! 👍 to vote for this issue
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