Feature Extraction
Transformers
Safetensors
medical
radiology
vision-language
chest-x-ray
glint
custom_code
Instructions to use Deepnoid/GLINT-CXR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deepnoid/GLINT-CXR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Deepnoid/GLINT-CXR", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Deepnoid/GLINT-CXR", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Deepnoid/GLINT-CXR: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/Deepnoid/GLINT-CXR/resolve/main/tokenizer.json
- Command line
-
hf download hf://Deepnoid/GLINT-CXR/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Deepnoid/GLINT-CXR/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.