Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
ropedia-xperience-10m-task-baselines / artifacts /min_all_modalities_subtask_model /README_model.txt
| This is an all-modality lightweight baseline. | |
| RGB/stereo/fisheye/depth/point-cloud/calibration/text are compressed into handcrafted features. | |
| It is not a deep multimodal model. | |
| Do not treat random windows from one episode as a final generalization benchmark. | |
| Label text was not included as input; only objects and interaction text were used. | |