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
| { | |
| "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" | |
| } | |