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:
- b94a81262398f0e65ffd0cf8d0d1e4684acd6729ba15329cf6a637ce4ad26bc6
- Size of remote file:
- 4.95 GB
- SHA256:
- a894b7230a08b471af55c57dd7385fd3b51fae2c4d9307a36a8017ef57abf22a
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