# Tao toolkit (launcher) missing model

**URL:** <https://forums.developer.nvidia.com/t/tao-toolkit-launcher-missing-model/292110>\
**Category:** TAO Toolkit\
**Created:** [May 7, 2024, 10:20pm UTC](https://forums.developer.nvidia.com/t/tao-toolkit-launcher-missing-model/292110 "2024-05-07T22:20:27Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![behna.rahimi](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@behna.rahimi](https://forums.developer.nvidia.com/u/behna.rahimi)\
**Post date:** [May 7, 2024, 10:20pm UTC](https://forums.developer.nvidia.com/t/tao-toolkit-launcher-missing-model/292110/1 "2024-05-07T22:20:27Z")

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I am using the classification\_tf2 in launchger moder and smaple nootbook. Want to get “pretrained\_efficientnet\_b1” and train it. However it doesnt show it as an option on NGC registry and can not find it to download. It only shows “\_b0”. How to fix this?

"Configuration of the TAO Toolkit Instance  
task\_group: [‘model’, ‘dataset’, ‘deploy’]  
format\_version: 3.0  
toolkit\_version: 5.3.0  
published\_date: 03/14/2024  
"

"!ngc registry model list nvidia/tao/pretrained\_classification\_tf2:\*

±------±------±------±------±------±------±-----±------±------+  
| Versi | Accur | Epoch | Batch | GPU | Memor | File | Statu | Creat |  
| on | acy | s | Size | Model | y Foo | Size | s | ed |  
| | | | | | tprin | | | Date |  
| | | | | | t | | | |  
±------±------±------±------±------±------±-----±------±------+  
| effic | | | | | | 45.6 | UPLOA | Dec |  
| ientn | | | | | | MB | D\_COM | 08, |  
| et\_b0 | | | | | | | PLETE | 2022 |  
±------±------±------±------±------±------±-----±------±------+  
"

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<div class="post-metadata">

**Author:** ![Morganh](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/morganh/32/9748_2.png) [@Morganh](https://forums.developer.nvidia.com/u/Morganh)\
**Post date:** [May 8, 2024, 7:27am UTC](https://forums.developer.nvidia.com/t/tao-toolkit-launcher-missing-model/292110/3 "2024-05-08T07:27:50Z")

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Please get it from [TAO Pretrained EfficientDet | NVIDIA NGC](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/pretrained_efficientdet/files?version=efficientnet_b1).