Instructions to use nvidia/C-RADIOv4-H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/C-RADIOv4-H with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nvidia/C-RADIOv4-H", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/C-RADIOv4-H", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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**Architecture Type:** Neural Network <br>
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**Network Architecture:** Vision Transformer <br>
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**Number of model parameters:** -
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## Input
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**Architecture Type:** Neural Network <br>
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**Network Architecture:** Vision Transformer <br>
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**Number of model parameters:** -SO400M size: 431M, -H size: 653M <br>
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## Input
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