Instructions to use nvidia/RADIO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/RADIO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nvidia/RADIO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/RADIO", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Release RADIOv2.5 ViT-B/L models
#9
by mranzinger - opened
- radio-v2.5-b_half.pth.tar +3 -0
- radio-v2.5-l_half.pth.tar +3 -0
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oid sha256:6bff4bd732d815136652d454598e8fe6c6f4e658716d5e6a697f0e6b60bd8a98
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oid sha256:50324e8cb086885126a896ad9ecbac46355cf0e4c1d8363763b01693a4618ff1
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size 1104806006
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