hf-tiny-model-private

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tiny-random-LevitForImageClassificationWithTeacher

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HF tiny models (private usage) 11

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="hf-tiny-model-private/tiny-random-LevitForImageClassificationWithTeacher")
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("hf-tiny-model-private/tiny-random-LevitForImageClassificationWithTeacher")
model = AutoModelForImageClassification.from_pretrained("hf-tiny-model-private/tiny-random-LevitForImageClassificationWithTeacher")