Instructions to use abhyudit309/openvla-7b-finetuned-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhyudit309/openvla-7b-finetuned-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="abhyudit309/openvla-7b-finetuned-v1", trust_remote_code=True)# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("abhyudit309/openvla-7b-finetuned-v1", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44fe94605c9fcf631467dc6745548cf7db3ab4d4fe024b2e2d5eff768d284094
- Size of remote file:
- 263 MB
- SHA256:
- c04d3714def0e912d211bad07937233cb16a1d1b162ffe5c758a732b8bc64ccf
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