Image Classification
Transformers
PyTorch
TensorBoard
English
van
Generated from Trainer
Eval Results (legacy)
Instructions to use DunnBC22/van-base-Brain_Tumors_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/van-base-Brain_Tumors_Image_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DunnBC22/van-base-Brain_Tumors_Image_Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("DunnBC22/van-base-Brain_Tumors_Image_Classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 130ee7d999c3549a382cf06a59738c437ad0b843cefe4c60c230a3622c8e8bc3
- Size of remote file:
- 105 MB
- SHA256:
- 8dda8aa793983d481c4ca1a7d0f556511ba18c084c470326be6fcb0af67d8c44
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