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:
- 5d6d60292172bd1632e5f43d31629956b1eea4a991cc630914abaf1a9fb0e73c
- Size of remote file:
- 484 MB
- SHA256:
- 18736bd4c8c6a23e42d94e96f25cf16587ccae53c9f2cee9e016094b72284dae
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