fix(docs): update outdated links (#2026)

This commit is contained in:
Steven Palma
2025-09-24 16:17:39 +02:00
committed by GitHub
parent cdd2bf1c4e
commit 163df97c0c
5 changed files with 6 additions and 6 deletions

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@@ -29,7 +29,7 @@ SmolVLA is Hugging Faces 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