metadata
description: >-
Explore the base class for implementing YOLO models with unified APIs for
training, validation, prediction, and more. Learn how to utilize different
task types and model configurations.
keywords: >-
YOLO model, Ultralytics, machine learning, deep learning, PyTorch model,
training, validation, prediction, exporting, benchmarking, Ultralytics HUB,
Triton Server
Reference for ultralytics/engine/model.py
!!! note
This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/engine/model.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/engine/model.py) 🛠️. Thank you 🙏!