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:
- 8325bb86a94cdfff3c8db08dee78a29339f109eec58431e8e7bb5c49374ec058
- Size of remote file:
- 4.93 GB
- SHA256:
- 6a10567fbd7b8aa16979045d331736b0ba27ffbb3ffa64c3dfd26c5d1462227b
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