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
Foundation Pipeline Task-Training Diagrams
These three bitmap figures are task-training diagrams for the foundation
pipeline tracks documented in THREE_FOUNDATION_PIPELINES.md and
docs/data/three_foundation_pipelines.json.
They replace the earlier concept-art images. Each diagram spells out the direction, supported task targets, model-training route, and evaluation gates. They are still pipeline communication assets, not evidence of completed foundation-model quality. Exact technical claims live in the surrounding Markdown, JSON, and website labels.
| Track | Asset |
|---|---|
| Spatial intelligence models | spatial-intelligence-pipeline.png |
| Human-video world models | human-video-world-model-pipeline.png |
| Vision-language-action models | vision-language-action-pipeline.png |
The deterministic rendering script is
scripts/render_foundation_pipeline_diagrams.py; prompt and image-generation
notes are in prompts.md.