Instructions to use argo11/parc2026-openvla-oft-plus-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use argo11/parc2026-openvla-oft-plus-base with Transformers:
# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("argo11/parc2026-openvla-oft-plus-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25d93ff0e1ab6c232f64479222027330ba377699079caf552d570b5cccc4e52e
- Size of remote file:
- 302 MB
- SHA256:
- adc70a2da8cadd90b5f5cdec1771058130e62e48ede4c8cd351a8c35ee740330
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.