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:
- cfdf45f9b8ae9512b60e04f0236582a65e7c09047eeb37c5d9c314f35ca3dd98
- Size of remote file:
- 4.95 GB
- SHA256:
- 2eb33ac179995c5095c7c6a009c067173f0c7c5a2fb4b1a166c75e3bc8208707
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