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2025-09-25 12:03:58 +02:00
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docs/source/smolvla.mdx
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@@ -29,7 +29,7 @@ SmolVLA is Hugging Face’s lightweight foundation model for robotics. Designed
## Collect a dataset
SmolVLA is a base model, so fine-tuning on your own data is required for optimal performance in your setup.
We recommend recording ~50 episodes of your task as a starting point. Follow our guide to get started: [Recording a Dataset](https://huggingface.co/docs/lerobot/getting_started_real_world_robot#record-a-dataset)
We recommend recording ~50 episodes of your task as a starting point. Follow our guide to get started: [Recording a Dataset](./il_robots)
<Tip>
@@ -93,7 +93,7 @@ lerobot-train --help
## Evaluate the finetuned model and run it in real-time
Similarly for when recording an episode, it is recommended that you are logged in to the HuggingFace Hub. You can follow the corresponding steps: [Record a dataset](./getting_started_real_world_robot#record-a-dataset).
Similarly for when recording an episode, it is recommended that you are logged in to the HuggingFace Hub. You can follow the corresponding steps: [Record a dataset](./il_robots).
Once you are logged in, you can run inference in your setup by doing:
```bash