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https://github.com/huggingface/lerobot.git
synced 2026-05-11 14:49:43 +00:00
chore(docs): remove pi installation note (#3095)
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@@ -83,14 +83,6 @@ jobs:
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exit 1
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fi
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- name: Remove Tags with Git dependencies
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# TODO(Steven): Temporary patch to remove pi from PyPi 0.4.0 release due to its reliance on git dependencies.
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run: |
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echo "::info:: Checking for Git dependencies to remove from pyproject.toml..."
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grep -E '@ git\+https|lerobot\[pi\]' pyproject.toml | sed 's/^/::warning:: Removing line: /' || true
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sed -E -i '/@ git\+https|lerobot\[pi\]/d' pyproject.toml
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echo "::info:: Git dependencies removed. Proceeding with build."
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- name: Install build dependencies
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run: python -m pip install build
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@@ -90,9 +90,6 @@ _Replace `[...]` with your desired features._
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For a full list of optional dependencies, see:
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https://pypi.org/project/lerobot/
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> [!NOTE]
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> 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"`
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### Troubleshooting
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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
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pip install -e ".[pi]"
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```
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> [!NOTE]
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> 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"`.
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>
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> This will be solved in the next patch release
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## Training Data and Capabilities
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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
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pip install -e ".[pi]"
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```
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> [!NOTE]
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> 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"`.
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>
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> This will be solved in the next patch release
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## Usage
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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
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pip install -e ".[pi]"
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```
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> [!NOTE]
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> 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"`.
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>
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> This will be solved in the next patch release
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## Training a Custom FAST Tokenizer
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You have two options for the FAST tokenizer:
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