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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SSSSphinx/SA-VLA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download Pi05-VGGT-LIBERO-FUSER-SFT_BF16/optimizer.pt from SSSSphinx/SA-VLA: direct link, hf CLI and curl.
- Browser
- Download file 2.41 GB
-
https://huggingface.co/SSSSphinx/SA-VLA/resolve/main/Pi05-VGGT-LIBERO-FUSER-SFT_BF16/optimizer.pt
- Command line
-
hf download hf://SSSSphinx/SA-VLA/Pi05-VGGT-LIBERO-FUSER-SFT_BF16/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/SSSSphinx/SA-VLA/resolve/main/Pi05-VGGT-LIBERO-FUSER-SFT_BF16/optimizer.pt
2.41 GB
- Xet hash:
- 4f81113c7d566a9e211a6705c72180ffa11c2b328bf05b3b2325fd94772aab9f
- Size of remote file:
- 2.41 GB
- SHA256:
- 841367fc7830949371aec375d3b9c32f459047c69e3311e3e56e92be9a53d879
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