How to use fxmarty/resnet-tiny-mnist with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/resnet-tiny-mnist") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("fxmarty/resnet-tiny-mnist") model = AutoModelForImageClassification.from_pretrained("fxmarty/resnet-tiny-mnist")
A small Resnet model for MNIST. Achieves 0.985 accuracy on the validation set.
