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ultralytics 8.1.42 add YOLOv9 Segment models (#9296)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Burhan 2024-04-02 06:24:29 -04:00 • committed by GitHub
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docs/en/integrations/tf-savedmodel.md
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@ -32,7 +32,7 @@ Here are the key features that make TF SavedModel a great option for AI develope
## Deployment Options with TF SavedModel
Before we dive into the process of exporting YOLOv8 models to the TF SavedModel format, let's explore some typical deployment scenarios where this format is used.
Before we dive into the process of exporting YOLOv8 models to the TF SavedModel format, let's explore some typical deployment scenarios where this format is used.
TF SavedModel provides a range of options to deploy your machine learning models:
@ -63,7 +63,6 @@ To install the required package, run:
For detailed instructions and best practices related to the installation process, check our [Ultralytics Installation guide](../quickstart.md). While installing the required packages for YOLOv8, if you encounter any difficulties, consult our [Common Issues guide](../guides/yolo-common-issues.md) for solutions and tips.
### Usage
Before diving into the usage instructions, it's important to note that while all [Ultralytics YOLOv8 models](../models/index.md) are available for exporting, you can ensure that the model you select supports export functionality [here](../modes/export.md).