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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from krishna-exe/brain-tumor-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/krishna-exe/brain-tumor-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://krishna-exe/brain-tumor-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/krishna-exe/brain-tumor-classification/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 808c7a3c9c2283434250905af391d8bba6de267fb3c817adc3d4afe8812fb22c
- Size of remote file:
- 5.18 kB
- SHA256:
- c080c68d125037c16e882d2a0f2d6133ad2ab0e1967236b32fcbca91f191c162
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