# \[Optional] Training Your Own Home Pretrained Representations This step assumes you have already downloaded the HoNY RGB + actions dataset to somewhere on your machine, and have updated your `configs/env_vars/env_vars.yaml` accordingly. * **Single GPU:** To reproduce our HPR encoder, run in terminal: ```bash python train.py --config-name=train_moco ``` * Multi-GPU: We use huggingface 🤗 accelerate to run multi-GPU training. Run the following commands ```bash accelerate config # Interactively walk you through setting up multi-GPU training accelerate launch train.py --config-name=train_moco ``` --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.dobb-e.com/software/readme-1/optional-training-your-own-home-pretrained-representations.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.