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chore(docs): prioritize use of entry points in docs + fix nightly badge (#1692)

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* chore(docs): fix typo in nightly badge

* chore(docs): prioritize the use of entrypoints for consistency
This commit is contained in:
Steven Palma
2025-08-07 14:25:44 +02:00
committed by GitHub
parent c66cd40176
commit ce3b9f627e
31 changed files with 105 additions and 107 deletions
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6
docs/source/smolvla.mdx
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@@ -54,7 +54,7 @@ If you don't have a gpu device, you can train using our notebook on [![Google Co
Pass your dataset to the training script using `--dataset.repo_id`. If you want to test your installation, run the following command where we use one of the datasets we collected for the [SmolVLA Paper](https://huggingface.co/papers/2506.01844).
```bash
cd lerobot && python -m lerobot.scripts.train \
cd lerobot && lerobot-train \
--policy.path=lerobot/smolvla_base \
--dataset.repo_id=${HF_USER}/mydataset \
--batch_size=64 \
@@ -73,7 +73,7 @@ cd lerobot && python -m lerobot.scripts.train \
Fine-tuning is an art. For a complete overview of the options for finetuning, run
```bash
python -m lerobot.scripts.train --help
lerobot-train --help
```
<p align="center">
@@ -97,7 +97,7 @@ Similarly for when recording an episode, it is recommended that you are logged i
Once you are logged in, you can run inference in your setup by doing:
```bash
python -m lerobot.record \
lerobot-record \
--robot.type=so101_follower \
--robot.port=/dev/ttyACM0 \ # <- Use your port
--robot.id=my_blue_follower_arm \ # <- Use your robot id