Robotics
Transformers
English
multimodal
vision-language-action
univla
action-decoder
continuous-control
Instructions to use VLA-Arena/univla-action-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VLA-Arena/univla-action-decoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VLA-Arena/univla-action-decoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- action_decoder-30000.pt +3 -0
action_decoder-30000.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a51a343feb98371a9ffc7229652df4ae4a3dd3f2218576bb478aea5ef372126b
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size 50572617
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