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:
- 9b49d7ec9af26fcafd4675e6085d2637379a4029a94251c5cb37f315762844f8
- Size of remote file:
- 263 MB
- SHA256:
- a877e3fece1feafb80f59f91585ce04379ee39e2bf9a25cb7b4acf237e896e60
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