Transformers How to use tanganke/convnext-base-224_emnist_letters_sgd_batch-size-64_lr-0.01_steps-4000 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="tanganke/convnext-base-224_emnist_letters_sgd_batch-size-64_lr-0.01_steps-4000")
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("tanganke/convnext-base-224_emnist_letters_sgd_batch-size-64_lr-0.01_steps-4000")
model = AutoModelForImageClassification.from_pretrained("tanganke/convnext-base-224_emnist_letters_sgd_batch-size-64_lr-0.01_steps-4000", device_map="auto") 
