Instructions to use immanuelpeter/C-RADIOv4-H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use immanuelpeter/C-RADIOv4-H with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="immanuelpeter/C-RADIOv4-H")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immanuelpeter/C-RADIOv4-H", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 170 Bytes
3572881 | 1 2 3 4 5 6 7 8 | {
"architectures": [
"RADIOModel"
],
"source": "nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16",
"revision": "e5e9932441de940c9a62185c870ea5bcd4cd24e2"
}
|