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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -330,7 +330,7 @@ For example, suppose we have a directory called ``my_image_datasets``. We would
### Local training
If you wish to debug your code or setup before launching a distributed training run, we provide the functionality to do so by running the pretraining script locally on a multi-GPU (or single-GPU) machine, however, reproducing our results requires launching distributed training.

The single-machine implementation starts from the [app/main.py](appmain.py), which parses the experiment config file and runs the pretraining locally on a multi-GPU (or single-GPU) machine.
The single-machine implementation starts from the [app/main.py](app/main.py), which parses the experiment config file and runs the pretraining locally on a multi-GPU (or single-GPU) machine.
For example, to run V-JEPA pretraining on GPUs "0", "1", and "2" on a local machine using the config [configs/pretrain/vitl16.yaml](configs/pretrain/vitl16.yaml), type the command:
```bash
python -m app.main \
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