Transformers How to use Ramos-Ramos/convnext_base.custom_imagenet_threshold_0.5 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="Ramos-Ramos/convnext_base.custom_imagenet_threshold_0.5")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("Ramos-Ramos/convnext_base.custom_imagenet_threshold_0.5")
model = AutoModelForImageClassification.from_pretrained("Ramos-Ramos/convnext_base.custom_imagenet_threshold_0.5", device_map="auto") 
