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---
description: Learn how to work with Ultralytics YOLO Detection, Segmentation & Classification Models, load weights and parse models in PyTorch.
keywords: neural network, deep learning, computer vision, object detection, image segmentation, image classification, model ensemble, PyTorch
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## BaseModel
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### ::: ultralytics.nn.tasks.BaseModel
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## DetectionModel
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### ::: ultralytics.nn.tasks.DetectionModel
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## SegmentationModel
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### ::: ultralytics.nn.tasks.SegmentationModel
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## PoseModel
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### ::: ultralytics.nn.tasks.PoseModel
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## ClassificationModel
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### ::: ultralytics.nn.tasks.ClassificationModel
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## RTDETRDetectionModel
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### ::: ultralytics.nn.tasks.RTDETRDetectionModel
<br><br>
## Ensemble
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### ::: ultralytics.nn.tasks.Ensemble
<br><br>
## torch_safe_load
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### ::: ultralytics.nn.tasks.torch_safe_load
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## attempt_load_weights
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### ::: ultralytics.nn.tasks.attempt_load_weights
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## attempt_load_one_weight
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### ::: ultralytics.nn.tasks.attempt_load_one_weight
<br><br>
## parse_model
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### ::: ultralytics.nn.tasks.parse_model
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## yaml_model_load
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### ::: ultralytics.nn.tasks.yaml_model_load
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## guess_model_scale
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### ::: ultralytics.nn.tasks.guess_model_scale
<br><br>
## guess_model_task
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### ::: ultralytics.nn.tasks.guess_model_task
<br><br>
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