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:
- dcc5a3ad11fa96c8ebd8b03a466e47c1e4877fccd3290a1ab6dce3cd468fca89
- Size of remote file:
- 4.95 GB
- SHA256:
- d5d817a597b121e25f7f77ac0743fed3e49e627d039e5df57af6102064f3e9a9
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