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docs(train): document remote training on HF Jobs

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Nicolas Rabault
2026-06-22 15:43:53 +02:00
parent 607a8a6b68
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4 changed files with 34 additions and 2 deletions
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docs/source/hardware_guide.mdx
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@@ -96,3 +96,4 @@ Notes:
- The leading `nvidia-smi` is a quick sanity check that CUDA is visible inside the container — useful to fail fast if the flavor or driver mismatched.
- The default Job timeout is 30 minutes; pass `--timeout 4h` (or longer) for real training.
- `--flavor` maps onto the table above: `t4-small`/`t4-medium` (T4, ACT only), `l4x1`/`l4x4` (L4 24 GB), `a10g-small/large/largex2/largex4` (A10G 24 GB scaled out), `a100-large` (A100). For the current full catalogue + pricing see [https://huggingface.co/docs/hub/jobs](https://huggingface.co/docs/hub/jobs).
- Prefer not to write the `hf jobs run` wrapper yourself? `lerobot-train` can submit the job for you: just add `--job.target=<flavor>` to a normal training command and it handles dataset upload, log streaming, and the final model push. See the [imitation-learning training guide](./il_robots).