Instructions to use nvidia/C-RADIOv4-SO400M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/C-RADIOv4-SO400M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nvidia/C-RADIOv4-SO400M", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/C-RADIOv4-SO400M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Release Date
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Hugging Face: 01/
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## References
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## Release Date
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Hugging Face: 01/27/2026 via [RADIO Collection of Models](https://huggingface.co/collections/nvidia/radio-669f77f1dd6b153f007dd1c6).
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## References
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