Other
Transformers
PyTorch
Safetensors
English
navfom
robotics
navigation
embodied-ai
waypoint-prediction
qwen
Instructions to use omlab/OmTrackVLA-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omlab/OmTrackVLA-0.6B with Transformers:
# Load model directly from transformers import OpenTrackVLAForWaypoint model = OpenTrackVLAForWaypoint.from_pretrained("omlab/OmTrackVLA-0.6B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_xy": 2.0, | |
| "architectures": [ | |
| "OpenTrackVLAForWaypoint" | |
| ], | |
| "beta_nav": 10.0, | |
| "dtype": "float32", | |
| "freeze_llm": true, | |
| "llm_name": "/data23/xu_ruochen/hf_models/Qwen3-0.6B-local", | |
| "max_time": 4096, | |
| "model_type": "navfom", | |
| "n_waypoints": 8, | |
| "transformers_version": "4.57.3", | |
| "use_angle_tvi": false, | |
| "use_tanh_actions": false, | |
| "vision_feat_dim": 1536 | |
| } | |