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fix(docs): update outdated links (#2026)

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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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2
docs/source/koch.mdx
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@@ -277,7 +277,7 @@ leader.disconnect()
</hfoption>
</hfoptions>
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by following this tutorial: [Getting started with real-world robots](./getting_started_real_world_robot)
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by following this tutorial: [Getting started with real-world robots](./il_robots)
> [!TIP]
> If you have any questions or need help, please reach out on [Discord](https://discord.com/invite/s3KuuzsPFb).

2
docs/source/lekiwi.mdx
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@@ -323,7 +323,7 @@ To replay an episode run the API example below, make sure to change `remote_ip`,
python examples/lekiwi/replay.py
```
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by the training part of this tutorial: [Getting started with real-world robots](./getting_started_real_world_robot)
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by the training part of this tutorial: [Getting started with real-world robots](./il_robots)
## Evaluate your policy

4
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

2
docs/source/so100.mdx
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@@ -634,7 +634,7 @@ leader.disconnect()
</hfoption>
</hfoptions>
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by following this tutorial: [Getting started with real-world robots](./getting_started_real_world_robot)
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by following this tutorial: [Getting started with real-world robots](./il_robots)
> [!TIP]
> If you have any questions or need help, please reach out on [Discord](https://discord.com/invite/s3KuuzsPFb).

2
docs/source/so101.mdx
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@@ -430,7 +430,7 @@ leader.disconnect()
</hfoption>
</hfoptions>
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by following this tutorial: [Getting started with real-world robots](./getting_started_real_world_robot)
Congrats 🎉, your robot is all set to learn a task on its own. Start training it by following this tutorial: [Getting started with real-world robots](./il_robots)
> [!TIP]
> If you have any questions or need help, please reach out on [Discord](https://discord.com/invite/s3KuuzsPFb).