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Package folder structure (#1417)

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* Move files

* Replace imports & paths

* Update relative paths

* Update doc symlinks

* Update instructions paths

* Fix imports

* Update grpc files

* Update more instructions

* Downgrade grpc-tools

* Update manifest

* Update more paths

* Update config paths

* Update CI paths

* Update bandit exclusions

* Remove walkthrough section
This commit is contained in:
Simon Alibert
2025-07-01 16:34:46 +02:00
committed by GitHub
parent 483be9aac2
commit d4ee470b00
268 changed files with 862 additions and 890 deletions
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docs/source/smolvla.mdx
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@@ -44,7 +44,7 @@ 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 lerobot/scripts/train.py \
cd lerobot && python -m lerobot.scripts.train \
--policy.path=lerobot/smolvla_base \
--dataset.repo_id=${HF_USER}/mydataset \
--batch_size=64 \
@@ -62,7 +62,7 @@ You can start with a small batch size and increase it incrementally, if the GPU
Fine-tuning is an art. For a complete overview of the options for finetuning, run
```bash
python lerobot/scripts/train.py --help
python -m lerobot.scripts.train --help
```
<p align="center">