Instructions to use moojink/openvla-7b-oft-finetuned-libero-10 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-10 with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("moojink/openvla-7b-oft-finetuned-libero-10", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d0c4b72f508f5c6770aa16887c14d3f9a43580a45a983f30272eae990177f90
- Size of remote file:
- 4.93 GB
- SHA256:
- 099772b16c1ba077c5bcff25a62e35595d2704b66f2f680af4dcf21cea03e9d4
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