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docs(train): document resuming from a Hub checkpoint, locally and on jobs

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Show that --config_path accepts a Hub repo id for --resume, and that adding
--job.target resumes on HF Jobs (uploading a local checkpoint/dataset first).
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Nicolas Rabault
2026-06-24 10:16:10 +02:00
parent 651c113cd3
commit 527f7a45c2
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docs/source/cheat-sheet.mdx
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@@ -122,6 +122,12 @@ lerobot-train \
No local GPU? Add `--job.target=<flavor>` (e.g. `a10g-small`) to either command and `lerobot-train` runs it on [Hugging Face Jobs](https://huggingface.co/docs/hub/jobs) instead — it uploads a local-only dataset for you and pushes the trained model. List flavors with `hf jobs hardware`.
To resume, point `--config_path` at a checkpoint and add `--resume=true`. It accepts a local path or a Hub repo id (the latest checkpoint is fetched), and works locally or on a job by adding `--job.target=<flavor>`:
```bash
lerobot-train --config_path=${HF_USER}/policy_test --resume=true --job.target=a10g-small
```
### Inference
Inference means running the trained policy/model on a robot. For that we use `lerobot-rollout`. You will need to provide a path to your policy. It can be a local path or a path to Hugging Face for example "lerobot/folding_latest". Your cameras configuration needs to match what was used when collecting the dataset. Duration is in seconds if unspecified, it will run forever.