Answers.Body: <p>There is no functional difference between <code>.pt</code> and <code>.pth</code> when saving PyTorch models. Both extensions are commonly used, and PyTorch can load either one without issue.</p>
  <p>PyTorch's <code>torch.save()</code> function doesn't care about the extension. You can use <code>.pt</code>, <code>.pth</code>, or even something else (though it's not recommended).</p>
  <p>In the early days of PyTorch, <code>.pth</code> was more prevalent. However, <code>.pth</code> files can also be used for Python path configuration, leading to potential confusion. To avoid this ambiguity, the <a href="https://discuss.pytorch.org/t/what-does-pth-tar-extension-mean/36697/3" rel="nofollow noreferrer">PyTorch community favors the .pt extension</a> for model checkpoints.</p>
  
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Answers.CreationDate: 2024-06-16T03:16:18.567Z
Answers.LastActivityDate: 2024-06-16T03:16:18.567Z
Answers.UserDisplayName: Kulin Patel
Body: <p>I'm working on developing models using PyTorch and frequently experiment with pre-trained models. 've read through the PyTorch <a href="https://pytorch.org/tutorials/beginner/saving_loading_models.html" rel="nofollow noreferrer">documentation</a>.</p>
  <p>When saving models, I've noticed that sometimes the files have a .pt extension and other times a .pth extension. Is there a difference between these two, and if so, what is it?</p>
  
Tags: <neural-networks><machine-learning><pytorch>
Title: Difference between .pt and .pth extensions in PyTorch model saving
UserDisplayName: krp
ThreadText: # Difference between .pt and .pth extensions in PyTorch model saving
  
  (Asked by: username_0 on 2024-06-16)
  
  I'm working on developing models using PyTorch and frequently experiment with pre-trained models. 've read through the PyTorch [documentation](https://pytorch.org/tutorials/beginner/saving_loading_models.html).
  
  When saving models, I've noticed that sometimes the files have a .pt extension and other times a .pth extension. Is there a difference between these two, and if so, what is it?
  
  **Tags:** neural-networks, machine-learning, pytorch
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2024-06-16. Score: 1 | Accepted answer
  
  There is no functional difference between `.pt` and `.pth` when saving PyTorch models. Both extensions are commonly used, and PyTorch can load either one without issue.
  
  PyTorch's `torch.save()` function doesn't care about the extension. You can use `.pt`, `.pth`, or even something else (though it's not recommended).
  
  In the early days of PyTorch, `.pth` was more prevalent. However, `.pth` files can also be used for Python path configuration, leading to potential confusion. To avoid this ambiguity, the [PyTorch community favors the .pt extension](https://discuss.pytorch.org/t/what-does-pth-tar-extension-mean/36697/3) for model checkpoints.
  
  
  ---
  
  