Image Classification
Transformers
TensorBoard
Safetensors
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use krishna-exe/brain-tumor-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krishna-exe/brain-tumor-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="krishna-exe/brain-tumor-classification") 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("krishna-exe/brain-tumor-classification") model = AutoModelForImageClassification.from_pretrained("krishna-exe/brain-tumor-classification") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct10_10-50-21_e11ecca18f17
- Oct10_11-22-23_e11ecca18f17
- Oct17_04-14-12_05a7a6f58592
- Oct17_04-44-59_05a7a6f58592
- Oct17_08-59-07_201b64c75d77
- Oct17_09-05-40_85ab1e65a8c1
- Oct17_09-09-21_85ab1e65a8c1
- Oct17_09-10-39_85ab1e65a8c1
- Oct17_09-12-36_85ab1e65a8c1
- Oct17_09-15-43_85ab1e65a8c1
- Oct17_09-22-03_85ab1e65a8c1
- Oct17_09-23-29_85ab1e65a8c1
- Oct17_09-23-52_85ab1e65a8c1
- Oct17_09-24-10_85ab1e65a8c1
- Oct17_09-28-34_85ab1e65a8c1