💡 [REQUEST] - Add model.eval() after loading the mdoel
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Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 78/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- documentation
Research direction
Open the linked save/load tutorial and locate the final example containing model = torch.load('model.pth', weights_only=False). Add the requested inference step below that line, then check the rendered tutorial to confirm the example clearly shows the recommended evaluation pattern.
Written by the indexing model from the issue text.
Description
🚀 Describe the improvement or the new tutorial
On this site: https://docs.pytorch.org/tutorials/beginner/basics/saveloadrun_tutorial.html after the last final example and line of code: model = torch.load('model.pth', weights_only=False), it may be helpful to add model.eval() below for clarity and consistency as done earlier in this web page. This makes the recommended inference pattern more explicit and is especially helpful for models that include Batch Normalization or Dropouts.
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- Python
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