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:
- 3690e65d318b0bca9f9b0d5ed07d748042acc9ff3a95538e6b81f58af9818937
- Size of remote file:
- 4.93 GB
- SHA256:
- aae1b9bfffacaf15e209bc8296ffa9bd07baa41d673ab005696a82525b880b2f
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