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
Download projector_config.json from immanuelpeter/C-RADIOv4-H: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
-
https://huggingface.co/immanuelpeter/C-RADIOv4-H/resolve/main/projector_config.json
- Command line
-
hf download hf://immanuelpeter/C-RADIOv4-H/projector_config.json
-
curl -L -o projector_config.json https://huggingface.co/immanuelpeter/C-RADIOv4-H/resolve/main/projector_config.json
103 Bytes
| { | |
| "type": "internvl_mlp1", | |
| "vit_hidden": 1280, | |
| "projector_hidden": 20480, | |
| "llm_hidden": 2688 | |
| } | |