Instructions to use moojink/openvla-7b-oft-finetuned-libero-spatial 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-spatial with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("moojink/openvla-7b-oft-finetuned-libero-spatial", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9acfcf1f61648d29058d2b4ed90bd73b30733c063aa6cc0b86f9764394178b09
- Size of remote file:
- 4.95 GB
- SHA256:
- a00a7c5f2b6586ccfc89c693a9c36f3552ff455ff2b1bfea3e92642e4cd2b6d3
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