Instructions to use fsattar/brain-tumor-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use fsattar/brain-tumor-classifier with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("fsattar/brain-tumor-classifier") - Notebooks
- Google Colab
- Kaggle
| license: mit | |
| library_name: fastai | |
| tags: | |
| - biology | |
| - radiology | |
| - cancer | |
| - fastai | |
| - mri | |
| pipeline_tag: image-classification | |
| hi!!! | |
| note that this is a fastai learner export. | |
| the model doesn't pass hugging face's pickle test as of yet bc fastai model export includes some additional data. | |
| future fix: export just weights with safetensors | |
| try the demo here: | |
| https://huggingface.co/spaces/fsattar/brain-tumor-classification |