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
File size: 505 Bytes
f4bdec1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"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"
} |