Instructions to use lerobot/pi052_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use lerobot/pi052_base with LeRobot:
- Notebooks
- Google Colab
- Kaggle
File size: 1,353 Bytes
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license: gemma
library_name: lerobot
pipeline_tag: robotics
tags:
- robotics
- lerobot
- pi052
- vision-language-action
base_model: lerobot/pi05_base
---
# PI0.5 v2 initialization checkpoint
`lerobot/pi052_base` is the native LeRobot initialization checkpoint for the
PI0.5 v2 (`pi052`) policy.
It contains the same pretrained tensor values as
[`lerobot/pi05_base`](https://huggingface.co/lerobot/pi05_base), converted once
to PI052's native LeRobot state-dict layout and paired with a `pi052`
configuration and processor pipeline. It can therefore be loaded through
LeRobot's standard checkpoint loader without runtime key conversion.
This checkpoint has **not** received additional PI052 hierarchical-language or
FAST-objective training. It is the starting point for PI052 fine-tuning, not a
trained hierarchical policy.
## Load
```python
from lerobot.policies.pi052.modeling_pi052 import PI052Policy
policy = PI052Policy.from_pretrained("lerobot/pi052_base")
```
## Fine-tune
```bash
lerobot-train \
--dataset.repo_id=${HF_USER}/my_language_annotated_dataset \
--policy.type=pi052 \
--policy.pretrained_path=lerobot/pi052_base \
--policy.recipe_path=recipes/subtask_mem.yaml \
--policy.dtype=bfloat16 \
--policy.device=cuda
```
PI0.5 is derived from PaliGemma and is distributed under the Gemma license.
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