Image Feature Extraction
Transformers
Safetensors
English
dinov2_with_registers
university-of-kentucky
medical
radiology
chest-ct
vision
dinov2
Instructions to use Kentucky-Open-Science/Finetuned-DINOv2-Chest-CT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kentucky-Open-Science/Finetuned-DINOv2-Chest-CT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Kentucky-Open-Science/Finetuned-DINOv2-Chest-CT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Kentucky-Open-Science/Finetuned-DINOv2-Chest-CT") model = AutoModel.from_pretrained("Kentucky-Open-Science/Finetuned-DINOv2-Chest-CT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K