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:
- 08fe870ead57ff3c7374e254acdc5fd5a58c03613bd17560033cf9d983816088
- Size of remote file:
- 67.3 MB
- SHA256:
- 780595e9cca5292348697686f9ccc83d39d9d3d303e860d62c6d4609952dfff1
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