Reinforcement Learning
Transformers
English
robotics
vla
vision-language-action
openvla
omnivla
robot
qwen
dinov2
siglip
Instructions to use theguy21/openvla-micro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theguy21/openvla-micro with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("theguy21/openvla-micro", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29b059c9cdd5f250f9907fdbd089e61d359b33d052b07255028e7f21e33ea014
- Size of remote file:
- 1.63 GB
- SHA256:
- 2c68322046be00edfa12c0b71c5ee84ec275a7efb29fd8e1d6fac59f93b06371
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.