Reinforcement Learning
Transformers
Safetensors
English
Chinese
robotics
vision-language-action
embodied-ai
openpi
rlinf
Instructions to use SSSSphinx/SA-VLA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SSSSphinx/SA-VLA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SSSSphinx/SA-VLA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3807239529df3903eed6e7406b31ab1ceb2418f8f2769a75917035c3abd9a8e2
- Size of remote file:
- 9.4 GB
- SHA256:
- 2dc425b5eccdad7e1ab0a846ba7940ef97b1d44ba35d9c5b96e812c0fb31a430
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