Instructions to use WWZzz/pi0_bilora_robotwin_beat_block_hammer_using_same_parameter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use WWZzz/pi0_bilora_robotwin_beat_block_hammer_using_same_parameter with PEFT:
Task type is invalid.
- Transformers
How to use WWZzz/pi0_bilora_robotwin_beat_block_hammer_using_same_parameter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WWZzz/pi0_bilora_robotwin_beat_block_hammer_using_same_parameter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 617 Bytes
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"action_dim": 14,
"action_expert_variant": "gemma_300m",
"action_horizon": 16,
"chunk_size": 16,
"discrete_state_input": false,
"freeze_vision_tower": false,
"lora_alpha": 256,
"lora_module": [
"gemma_expert",
"language_model",
"vision_tower"
],
"lora_r": 256,
"max_action_dim": 32,
"max_token_len": 180,
"model_type": "openpi_policy",
"paligemma_variant": "gemma_2b",
"pi05": false,
"pytorch_training_precision": "bfloat16",
"pytorch_weight_path": "/root/.cache/openpi/openpi-assets/checkpoints/pi0_base_torch",
"state_dim": 14,
"transformers_version": "4.53.2"
}
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