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:
- b0ca8ad7921e67a729b868104acf3fed8130a8cd20b83b64941b288d464785c5
- Size of remote file:
- 4.95 GB
- SHA256:
- a6332d38c51c0dd50f48236a27bfbb6686a2700c371af43513f5c49cfcfca1c7
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