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docs: fix repeated word in backward compatibility guide (#3938)

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Signed-off-by: aineoae86-sys <ai.neo.ae86@gmail.com>
Co-authored-by: aineoae86-sys <ai.neo.ae86@gmail.com>
Co-authored-by: Steven Palma <imstevenpmwork@ieee.org>
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@@ -58,7 +58,7 @@ final_action = postprocessor(action)
## Hardware API redesign ## Hardware API redesign
PR [#777](https://github.com/huggingface/lerobot/pull/777) improves the LeRobot calibration but is **not backward-compatible**. Below is a overview of what changed and how you can continue to work with datasets created before this pull request. PR [#777](https://github.com/huggingface/lerobot/pull/777) improves the LeRobot calibration but is **not backward-compatible**. Below is an overview of what changed and how you can continue to work with datasets created before this pull request.
### What changed? ### What changed?
@@ -129,8 +129,8 @@ python examples/backward_compatibility/replay.py \
Policies output actions in the same format as the datasets (`torch.Tensors`). Therefore, the same transformations should be applied. Policies output actions in the same format as the datasets (`torch.Tensors`). Therefore, the same transformations should be applied.
To find these transformations, we recommend to first try and and replay an episode of the dataset your policy was trained on using the section above. To find these transformations, we recommend first replaying an episode of the dataset your policy was trained on using the section above.
Then, add these same transformations on your inference script (shown here in the `record.py` script): Then, add these same transformations to your inference script (shown here in the `record.py` script):
```diff ```diff
action_values = predict_action( action_values = predict_action(