How to use from the
Use from the
Transformers library
# 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")
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A small Resnet model for MNIST. Achieves 0.985 accuracy on the validation set.

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