Instructions to use nvidia/RADIO-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/RADIO-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nvidia/RADIO-B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/RADIO-B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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# AM-RADIO: Reduce All Domains Into One
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pipeline_tag: image-feature-extraction
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license: other
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license_name: nvidia-source-code-license
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license_link: https://huggingface.co/nvidia/RADIO-B/resolve/main/LICENSE
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# AM-RADIO: Reduce All Domains Into One
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