Instructions to use moojink/openvla-7b-oft-finetuned-libero-goal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moojink/openvla-7b-oft-finetuned-libero-goal with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("moojink/openvla-7b-oft-finetuned-libero-goal", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63468e8cf2ba78563eae927c19948efee710de286cea53f5c82e9c4f284f742a
- Size of remote file:
- 302 MB
- SHA256:
- b97c2e8939ede32d8a1b29e9565d70f22040ba9e54925665e81989a0cc13ccff
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