Instructions to use celestial4SR/statebackdoor-openvla-libero-object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celestial4SR/statebackdoor-openvla-libero-object with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="celestial4SR/statebackdoor-openvla-libero-object", trust_remote_code=True)# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("celestial4SR/statebackdoor-openvla-libero-object", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e960be656dcbea31e61e1e13d1db417e4fcab6b91d1cc9b0251a38e8f16c0d9e
- Size of remote file:
- 4.95 GB
- SHA256:
- 4c72173dc49dcba41330652549e5087cf82b30777f2bda6ec1074f1857a9f3ae
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