v0.11.4

See https://github.com/quic/ai-hub-models/releases/v0.11.4 for changelog.

Signed-off-by: QAIHM Team <[email protected]>

qai_hub_models/_version.py

@@ -2,4 +2,4 @@
 # Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
 # SPDX-License-Identifier: BSD-3-Clause
 # ---------------------------------------------------------------------
-__version__ = "0.11.3"
+__version__ = "0.11.4"

qai_hub_models/models/aotgan/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of AOT-GAN found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/aotgan).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/researchmm/AOT-GAN-for-Inpainting)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/baichuan_7b_quantized/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of Baichuan-7B found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/baichuan_7b_quantized).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -27,7 +26,7 @@ a hosted Qualcomm® device.
 * [Source Model Implementation](https://github.com/baichuan-inc/Baichuan-7B/)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/controlnet_quantized/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of ControlNet found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/controlnet_quantized).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/lllyasviel/ControlNet)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/convnext_tiny/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of ConvNext-Tiny found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/convnext_tiny).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/convnext.py)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/convnext_tiny_w8a16_quantized/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of ConvNext-Tiny-w8a16-Quantized found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/convnext_tiny_w8a16_quantized).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/convnext.py)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/convnext_tiny_w8a8_quantized/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of ConvNext-Tiny-w8a8-Quantized found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/convnext_tiny_w8a8_quantized).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/convnext.py)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/ddrnet23_slim/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DDRNet23-Slim found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/ddrnet23_slim).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/chenjun2hao/DDRNet.pytorch)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/deeplabv3_plus_mobilenet/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DeepLabV3-Plus-MobileNet found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/deeplabv3_plus_mobilenet).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/jfzhang95/pytorch-deeplab-xception)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/deeplabv3_plus_mobilenet_quantized/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DeepLabV3-Plus-MobileNet-Quantized found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/deeplabv3_plus_mobilenet_quantized).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/jfzhang95/pytorch-deeplab-xception)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/deeplabv3_resnet50/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DeepLabV3-ResNet50 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/deeplabv3_resnet50).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/deeplabv3.py)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/densenet121/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DenseNet-121 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/densenet121).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/densenet.py)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/detr_resnet101/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DETR-ResNet101 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/detr_resnet101).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/facebookresearch/detr)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/detr_resnet101_dc5/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DETR-ResNet101-DC5 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/detr_resnet101_dc5).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/facebookresearch/detr)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/detr_resnet50/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DETR-ResNet50 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/detr_resnet50).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/facebookresearch/detr)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/detr_resnet50_dc5/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of DETR-ResNet50-DC5 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/detr_resnet50_dc5).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -55,7 +54,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/facebookresearch/detr)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/efficientnet_b0/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of EfficientNet-B0 found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/efficientnet_b0).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.py)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).
 
 

qai_hub_models/models/esrgan/README.md

@@ -10,8 +10,7 @@ This is based on the implementation of ESRGAN found
 export suitable to run on Qualcomm® devices. More details on model performance
 accross various devices, can be found [here](https://aihub.qualcomm.com/models/esrgan).
 
-[Sign up](https://myaccount.qualcomm.com/signup) for early access to run these models on
-a hosted Qualcomm® device.
+[Sign up](https://myaccount.qualcomm.com/signup) to start using Qualcomm AI Hub and run these models on a hosted Qualcomm® device.
 
 
 
@@ -50,7 +49,7 @@ script requires access to Deployment instructions for Qualcomm® AI Hub.
 * [Source Model Implementation](https://github.com/xinntao/ESRGAN/)
 
 ## Community
-* Join [our AI Hub Slack community](https://qualcomm-ai-hub.slack.com/join/shared_invite/zt-2d5zsmas3-Sj0Q9TzslueCjS31eXG2UA#/shared-invite/email) to collaborate, post questions and learn more about on-device AI.
+* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
 * For questions or feedback please [reach out to us](mailto:[email protected]).