This project is no longer actively maintained. While existing releases remain available, there are no planned updates, bug fixes, new features, or security patches. Users should be aware that vulnerabilities may not be addressed.
This page lists model archives that are pre-trained and pre-packaged, ready to be served for inference with TorchServe. To propose a model for inclusion, please submit a pull request.
Special thanks to the PyTorch community whose Model Zoo and Model Examples were used in generating these model archives.
Model | Type | Dataset | Size | Download | Sample Input | Model mode |
---|---|---|---|---|---|---|
AlexNet | Image Classification | ImageNet | 216 MB | .mar | kitten.jpg | Eager |
Densenet161 | Image Classification | ImageNet | 106 MB | .mar | kitten.jpg | Eager |
Resnet18 | Image Classification | ImageNet | 41 MB | .mar | kitten.jpg | Eager |
VGG16 | Image Classification | ImageNet | 489 MB | .mar | kitten.jpg | Eager |
Squeezenet 1_1 | Image Classification | ImageNet | 4.4 MB | .mar | kitten.jpg | Eager |
MNIST digit classifier | Image Classification | MNIST | 4.3 MB | .mar | 0.png | Eager |
Resnet 152 | Image Classification | ImageNet | 214 MB | .mar | kitten.jpg | Eager |
Faster RCNN | Object Detection | COCO | 148 MB | .mar | persons.jpg | Eager |
MASK RCNN | Object Detection | COCO | 158 MB | .mar | persons.jpg | Eager |
Text classifier | Text Classification | AG_NEWS | 169 MB | .mar | sample_text.txt | Eager |
FCN ResNet 101 | Image Segmentation | COCO | 193 MB | .mar | persons.jpg | Eager |
DeepLabV3 ResNet 101 | Image Segmentation | COCO | 217 MB | .mar | persons.jpg | Eager |
BERT token classification | Token Classification | AG_NEWS | 384.7 MB | .mar | sample_text.txt | Eager |
BERT sequence classification | Sequence Classification | AG_NEWS | 386.8 MB | .mar | sample_text.txt | Eager |
AlexNet Scripted | Image Classification | ImageNet | 216 MB | .mar | kitten.jpg | Torchscripted |
Densenet161 Scripted | Image Classification | ImageNet | 105 MB | .mar | kitten.jpg | Torchscripted |
Resnet18 Scripted | Image Classification | ImageNet | 42 MB | .mar | kitten.jpg | Torchscripted |
VGG16 Scripted | Image Classification | ImageNet | 489 MB | .mar | kitten.jpg | Torchscripted |
Squeezenet 1_1 Scripted | Image Classification | ImageNet | 4.4 MB | .mar | kitten.jpg | Torchscripted |
MNIST digit classifier Scripted | Image Classification | MNIST | 4.3 MB | .mar | 0.png | Torchscripted |
Resnet 152 Scripted | Image Classification | ImageNet | 215 MB | .mar | kitten.jpg | Torchscripted |
Text classifier Scripted | Text Classification | AG_NEWS | 169 MB | .mar | sample_text.txt | Torchscripted |
FCN ResNet 101 Scripted | Image Segmentation | COCO | 193 MB | .mar | persons.jpg | Torchscripted |
DeepLabV3 ResNet 101 Scripted | Image Segmentation | COCO | 217 MB | .mar | persons.jpg | Torchscripted |
MMF activity recognition | Activity Recognition | Charades | 549 MB | .mar | 372CC.mp4 | Torchscripted |
BERT sequence classification CPU | Sequence Classification | AG_NEWS | 386.9 MB | .mar | sample_text.txt | Torchscripted |
BERT sequence classification mGPU | Sequence Classification | CAPTUM | 386.9 MB | .mar | sample_text_captum_input.txt | Torchscripted |
BERT sequence classification | Sequence Classification | AG_NEWS | 386.8 MB | .mar | sample_text.txt | Torchscripted |
dog breed classification | Image Classification | ImageNet | 1.1 KB | .war | kitten_small.jpg | Workflow |
Refer example for more details on above models.