Instructions to use jerilseb/mnist-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jerilseb/mnist-classifier with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import MNISTClassifier model = MNISTClassifier.from_pretrained("jerilseb/mnist-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mnist_classifier.pth from jerilseb/mnist-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.34 MB
-
https://huggingface.co/jerilseb/mnist-classifier/resolve/main/mnist_classifier.pth
- Command line
-
hf download hf://jerilseb/mnist-classifier/mnist_classifier.pth
-
curl -L -o mnist_classifier.pth https://huggingface.co/jerilseb/mnist-classifier/resolve/main/mnist_classifier.pth
5.34 MB
- Xet hash:
- c05b5bf844b298dae188a0d8c878ed8709e33b01c29ae5c0671036df64223c59
- Size of remote file:
- 5.34 MB
- SHA256:
- 8f7ed736920b68b4516a7e07b986e5541bd01723ab0896848e58831a998f458a
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