How to use maazie/EfficientNetB0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="maazie/EfficientNetB0") 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("maazie/EfficientNetB0") model = AutoModelForImageClassification.from_pretrained("maazie/EfficientNetB0", device_map="auto")
pipeline_tag: image-classification datasets: - imagenet-1k
This is a EfficientNetB0 model, trained on the ImageNet1k Dataset.
