What pre-trained models are available in the PaddlePaddle framework?

The PaddlePaddle framework offers a variety of commonly used pre-trained models, including but not not limited to:

1. ResNet, a deep residual network known for its excellent performance, is commonly used for tasks such as image classification and object detection.
2. MobileNet is a lightweight convolutional neural network designed for scenarios with limited resources such as mobile devices.
3. Faster R-CNN is a deep learning model designed for object detection with high accuracy.
4. YOLOv3 is an end-to-end object detection model with faster detection speed.
5. Transformer is a model used for natural language processing tasks, particularly well-suited for sequence-to-sequence tasks like machine translation and text generation.

In addition to the models listed above, the PaddlePaddle framework also offers a variety of other types of pre-trained models for users to choose from based on their specific task requirements.