Image Segmentation
Transformers
Safetensors
cxr_basic
feature-extraction
chest_x_ray
x_ray
medical_imaging
radiology
segmentation
classification
lungs
heart
custom_code
Instructions to use ianpan/chest-x-ray-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ianpan/chest-x-ray-basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="ianpan/chest-x-ray-basic", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ianpan/chest-x-ray-basic", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be506b8b58f45f3313a5bd186e05c04d3e4ef1a47d0f141be24598a8dacd54c0
- Size of remote file:
- 89.1 MB
- SHA256:
- 213f9a181a0ac6b49999e4f63dc5dbc6167e719ae7c72da5bc682a04365f39b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.