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:
- 0f0ef0068dff420b992102d89b51c6b3cebf6b864ecbbbf54cfa3a81ee4ac869
- Size of remote file:
- 4.95 GB
- SHA256:
- 31540314f94a71c9388b4b6b6c9d64162932174e2f3b92ea666bb73560891354
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