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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("immanuelpeter/C-RADIOv4-H", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from immanuelpeter/C-RADIOv4-H: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/immanuelpeter/C-RADIOv4-H/resolve/main/config.json
- Command line
-
hf download hf://immanuelpeter/C-RADIOv4-H/config.json
-
curl -L -o config.json https://huggingface.co/immanuelpeter/C-RADIOv4-H/resolve/main/config.json
170 Bytes
| { | |
| "architectures": [ | |
| "RADIOModel" | |
| ], | |
| "source": "nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16", | |
| "revision": "e5e9932441de940c9a62185c870ea5bcd4cd24e2" | |
| } | |