Robotics
Transformers
Safetensors
openvla
feature-extraction
vla
openvla-oft
xarm
task-conditioned-gate
custom_code
Instructions to use AAyano/gate_setting2_chunksize25_batch32_from20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AAyano/gate_setting2_chunksize25_batch32_from20000 with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("AAyano/gate_setting2_chunksize25_batch32_from20000", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "dataset_name": "utokyo_xarm_pick_and_place_converted_externally_to_rlds", | |
| "vla_path": "/workspace/kaixi/RealWorld/openvla_oft_runs/merged_public_checkpoints/oft_setting2_chunksize25_batch32_20k", | |
| "use_film": true, | |
| "num_images_in_input": 2, | |
| "use_proprio": true, | |
| "use_l1_regression": true, | |
| "use_diffusion": false, | |
| "use_lora": true, | |
| "lora_rank": 32, | |
| "num_actions_chunk": 25, | |
| "action_dim": 7, | |
| "proprio_dim": 6, | |
| "action_proprio_normalization_type": "NormalizationType.BOUNDS_Q99" | |
| } |