

The quickest way to get started with the Perceiver is by checking the tutorial
  notebooks.
Refer to the blog post if you want to fully understand how the model works and
is implemented in the library. Note that the models available in the library only showcase some examples of what you can do
with the Perceiver. There are many more use cases, including question answering, named-entity recognition, object detection,
audio classification, video classification, etc.
Text classification task guide
Masked language modeling task guide
Image classification task guide