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:
- 15337e6ed06213234c87b61d7ddc3f477136ecc238a1e852ea5b8be20feb1dc6
- Size of remote file:
- 4.95 GB
- SHA256:
- f1c361c4cbd78b60ccea81538ca1626e00e54baba70528af8c08577771768329
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