forked from tangger/lerobot
fix(docs): update outdated links (#2026)
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@@ -29,7 +29,7 @@ SmolVLA is Hugging Face’s lightweight foundation model for robotics. Designed
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## Collect a dataset
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SmolVLA is a base model, so fine-tuning on your own data is required for optimal performance in your setup.
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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)
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We recommend recording ~50 episodes of your task as a starting point. Follow our guide to get started: [Recording a Dataset](./il_robots)
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<Tip>
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@@ -93,7 +93,7 @@ lerobot-train --help
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## Evaluate the finetuned model and run it in real-time
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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).
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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).
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Once you are logged in, you can run inference in your setup by doing:
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```bash
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