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:
- 295c76f7918e831cc622997c4ce6a046a3a80bf1599ea677c4ece7bf07f72a0c
- Size of remote file:
- 484 MB
- SHA256:
- 1e94a9d9641a385852d37a85d24d3f3c2db05a4d3d772379bff37c9d5f1520ae
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