Update docs building code (#7601)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Muhammad Rizwan Munawar <chr043416@gmail.com> Co-authored-by: Muhammad Rizwan Munawar <muhammadrizwanmunawar123@gmail.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@ -20,9 +20,9 @@ MobileSAM is trained on a single GPU with a 100k dataset (1% of the original ima
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This table presents the available models with their specific pre-trained weights, the tasks they support, and their compatibility with different operating modes like [Inference](../modes/predict.md), [Validation](../modes/val.md), [Training](../modes/train.md), and [Export](../modes/export.md), indicated by ✅ emojis for supported modes and ❌ emojis for unsupported modes.
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| Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |
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|------------|---------------------|----------------------------------------------|-----------|------------|----------|--------|
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| MobileSAM | `mobile_sam.pt` | [Instance Segmentation](../tasks/segment.md) | ✅ | ❌ | ❌ | ❌ |
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| Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |
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|------------|-----------------------------------------------------------------------------------------------|----------------------------------------------|-----------|------------|----------|--------|
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| MobileSAM | [mobile_sam.pt](https://github.com/ultralytics/assets/releases/download/v8.1.0/mobile_sam.pt) | [Instance Segmentation](../tasks/segment.md) | ✅ | ❌ | ❌ | ❌ |
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## Adapting from SAM to MobileSAM
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