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docs(train): note how to pin a pushed model version for inference
Document --policy.pretrained_revision alongside --policy.path so a specific Hub-pushed checkpoint (once --save_checkpoint_to_hub has committed several) can be selected for inference.
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@@ -641,6 +641,8 @@ hf upload ${HF_USER}/act_so101_test${CKPT} \
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Use `lerobot-rollout` to deploy a trained policy on your robot. You can choose different strategies depending on your needs:
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The examples below load the model from `--policy.path`. To pin a specific pushed version — useful once `--save_checkpoint_to_hub=true` has committed several checkpoints — add `--policy.pretrained_revision` with a commit hash, branch, or tag.
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<hfoptions id="eval">
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<hfoption id="Base mode (no recording)">
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```bash
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