Image Classification
Transformers
Safetensors
PyTorch
GPReconResNet
feature-extraction
medical-imaging
brain-tumor
brain-tumour
mri
brats2020
weakly-supervised-segmentation
segmentation
custom_code
Instructions to use soumickmj/GPReconResNet_BraTS2020_T1T2T1ceFlair_Axial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soumickmj/GPReconResNet_BraTS2020_T1T2T1ceFlair_Axial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="soumickmj/GPReconResNet_BraTS2020_T1T2T1ceFlair_Axial", 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("soumickmj/GPReconResNet_BraTS2020_T1T2T1ceFlair_Axial", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K