Merge branch 'main' into feature/add-multitask-dit

This commit is contained in:
Bryson Jones
2026-03-06 07:22:23 -08:00
committed by GitHub
5 changed files with 0 additions and 26 deletions
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@@ -83,14 +83,6 @@ jobs:
exit 1
fi
- name: Remove Tags with Git dependencies
# TODO(Steven): Temporary patch to remove pi from PyPi 0.4.0 release due to its reliance on git dependencies.
run: |
echo "::info:: Checking for Git dependencies to remove from pyproject.toml..."
grep -E '@ git\+https|lerobot\[pi\]' pyproject.toml | sed 's/^/::warning:: Removing line: /' || true
sed -E -i '/@ git\+https|lerobot\[pi\]/d' pyproject.toml
echo "::info:: Git dependencies removed. Proceeding with build."
- name: Install build dependencies
run: python -m pip install build
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@@ -90,9 +90,6 @@ _Replace `[...]` with your desired features._
For a full list of optional dependencies, see:
https://pypi.org/project/lerobot/
> [!NOTE]
> For lerobot 0.4.0, if you want to install pi, you will have to do: `pip install "lerobot[pi]@git+https://github.com/huggingface/lerobot.git"`
### Troubleshooting
If you encounter build errors, you may need to install additional dependencies: `cmake`, `build-essential`, and `ffmpeg libs`.
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@@ -34,11 +34,6 @@ As described by Physical Intelligence, while AI has achieved remarkable success
pip install -e ".[pi]"
```
> [!NOTE]
> For lerobot 0.4.0, if you want to install pi tag, you will have to do: `pip install "lerobot[pi]@git+https://github.com/huggingface/lerobot.git"`.
>
> This will be solved in the next patch release
## Training Data and Capabilities
π₀ is trained on the largest robot interaction dataset to date, combining three key data sources:
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@@ -36,11 +36,6 @@ This diverse training mixture creates a "curriculum" that enables generalization
pip install -e ".[pi]"
```
> [!NOTE]
> For lerobot 0.4.0, if you want to install pi tag, you will have to do: `pip install "lerobot[pi]@git+https://github.com/huggingface/lerobot.git"`.
>
> This will be solved in the next patch release
## Usage
To use π₀.₅ in your LeRobot configuration, specify the policy type as:
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@@ -43,11 +43,6 @@ This approach can transform **any existing VLM** into a VLA by training it to pr
pip install -e ".[pi]"
```
> [!NOTE]
> For lerobot 0.4.0, if you want to install the pi tag, you will have to do: `pip install "lerobot[pi]@git+https://github.com/huggingface/lerobot.git"`.
>
> This will be solved in the next patch release
## Training a Custom FAST Tokenizer
You have two options for the FAST tokenizer: