Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use surajjoshi/Brain_Tumor_Classification_using_swin_transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surajjoshi/Brain_Tumor_Classification_using_swin_transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="surajjoshi/Brain_Tumor_Classification_using_swin_transformer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("surajjoshi/Brain_Tumor_Classification_using_swin_transformer") model = AutoModelForImageClassification.from_pretrained("surajjoshi/Brain_Tumor_Classification_using_swin_transformer") - Notebooks
- Google Colab
- Kaggle
Commit ·
84e6c5e
1
Parent(s): 2664255
Model save
Browse files
runs/Jan25_08-22-34_Devarshis-MacBook-Air.local/events.out.tfevents.1674615185.Devarshis-MacBook-Air.local.3343.0
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