Instructions to use Hemg/Brain-Tumor-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemg/Brain-Tumor-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hemg/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("Hemg/Brain-Tumor-Classification") model = AutoModelForImageClassification.from_pretrained("Hemg/Brain-Tumor-Classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
model.safetensors
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runs/Mar06_07-48-36_65f3a70606cc/events.out.tfevents.1709711317.65f3a70606cc.34.2
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runs/Mar06_08-17-17_65f3a70606cc/events.out.tfevents.1709713038.65f3a70606cc.34.3
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training_args.bin
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