Instructions to use Arunisto/brain_tumor_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arunisto/brain_tumor_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Arunisto/brain_tumor_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Arunisto/brain_tumor_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download UsingApretrainedSwinTransformerModelForImageClassification.ipynb from Arunisto/brain_tumor_classification: direct link, hf CLI and curl.
- Browser
- Download file 57.4 kB
-
https://huggingface.co/Arunisto/brain_tumor_classification/resolve/main/UsingApretrainedSwinTransformerModelForImageClassification.ipynb
- Command line
-
hf download hf://Arunisto/brain_tumor_classification/UsingApretrainedSwinTransformerModelForImageClassification.ipynb
-
curl -L -o UsingApretrainedSwinTransformerModelForImageClassification.ipynb https://huggingface.co/Arunisto/brain_tumor_classification/resolve/main/UsingApretrainedSwinTransformerModelForImageClassification.ipynb
57.4 kB