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:
- 330477347982b1fae47c380b6a268e7be7b1066f21b0aeee3e69be2b6ea0265a
- Size of remote file:
- 67.3 MB
- SHA256:
- 7ea18c370d8aa1625cc6c10f0d95c4bc101805a8cc843690022fd675e89296c3
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