Edit model card

Mobilenet-v2-CIFAR-10 (Teeny-Tiny Castle)

This model is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.

How to Use

from transformers import pipeline
from datasets import load_dataset
from IPython.display import display

dataset = load_dataset("cifar10", split="test")

classifier = pipeline("image-classification", model="AiresPucrs/Mobilenet-v2-CIFAR-10")

display(dataset['img'][5].resize((256, 256)))
display(classifier(dataset['img'][5]))

display(dataset['img'][10].resize((256, 256)))
display(classifier(dataset['img'][10]))
Downloads last month
11
Safetensors
Model size
2.27M params
Tensor type
F32
·
Inference API
Unable to determine this model’s pipeline type. Check the docs .