Image Feature Extraction
Transformers
Safetensors
feature-extraction
vision
image-embeddings
vision-transformer
foundation-model
knowledge-distillation
multi-teacher-distillation
elastic-tokens
token-compression
radio
icml-2026
custom_code
Instructions to use nvidia/C-RADIOv4-1D-H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/C-RADIOv4-1D-H with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nvidia/C-RADIOv4-1D-H", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nvidia/C-RADIOv4-1D-H", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle