Instructions to use coded190/pingti_palm_openvla with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use coded190/pingti_palm_openvla with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openvla/openvla-7b") model = PeftModel.from_pretrained(base_model, "coded190/pingti_palm_openvla") - Notebooks
- Google Colab
- Kaggle
| { | |
| "vla_path": "openvla/openvla-7b", | |
| "data_jsonl": null, | |
| "lerobot_repo_ids": [ | |
| "coded190/pingti_palm_tree", | |
| "coded190/isaac_so_arm101_vla_v2" | |
| ], | |
| "image_root": null, | |
| "output_dir": "outputs/openvla_lora", | |
| "batch_size": 16, | |
| "grad_accum_steps": 1, | |
| "max_steps": 2500, | |
| "save_steps": 200, | |
| "learning_rate": 0.0005, | |
| "mixed_precision": "bf16", | |
| "action_dim": 7, | |
| "predict_stop_token": true, | |
| "seed": 0 | |
| } |