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:
- e5d65e3e7d3a2d5bb676c84f1fd6a2cf924b2ef13749722b10332bd11bfb80cb
- Size of remote file:
- 4.93 GB
- SHA256:
- 2809bd7be9422315c5ecbe91eea612f5b02925f37e0051728ad45bc993c79251
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