uoft-cs/cifar100
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How to use ThongCoder/microsoft-resnet50-cifar100 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="ThongCoder/microsoft-resnet50-cifar100")
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("ThongCoder/microsoft-resnet50-cifar100")
model = AutoModelForImageClassification.from_pretrained("ThongCoder/microsoft-resnet50-cifar100")# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("ThongCoder/microsoft-resnet50-cifar100")
model = AutoModelForImageClassification.from_pretrained("ThongCoder/microsoft-resnet50-cifar100")Base model
microsoft/resnet-50
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ThongCoder/microsoft-resnet50-cifar100") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")