The PyTorch model zoo contains symbolic (JIT Traced) models that can be used for inference. All the models in this model zoo contain pre-trained parameters for their specific datasets.
The latest javadocs can be found on the djl.ai website.
You can also build the latest javadocs locally using the following command:
# for Linux/macOS: ./gradlew javadoc # for Windows: ..\..\gradlew javadoc
The javadocs output is built in the build/doc/javadoc folder.
You can pull the PyTorch engine from the central Maven repository by including the following dependency in you
<dependency> <groupId>ai.djl.pytorch</groupId> <artifactId>pytorch-model-zoo</artifactId> <version>0.14.0</version> </dependency>
The PyTorch model zoo contains Computer Vision (CV) models. All the models are grouped by task under these two categories as follows:
Please see DJL Model Zoo