Image Classification
Transformers
PyTorch
cxr-lines-and-tubes
feature-extraction
medical-imaging
chest-x-ray
image-segmentation
multi-label-classification
custom_code
Instructions to use ianpan/cxr-lines-and-tubes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ianpan/cxr-lines-and-tubes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ianpan/cxr-lines-and-tubes", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ianpan/cxr-lines-and-tubes", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!