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:
- 4e54b82c0758b348bb24a631104e0e49048d42d24b229e11ef495f4eb48fc4fc
- Size of remote file:
- 4.95 GB
- SHA256:
- 4cd51d327e1891f24f75d033017ed3824cc5fb9009e38498efd2dca6f89ee01d
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