mikga

/

pattern1

like 0

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

pipe = pipeline("image-classification", model="mikga/pattern1")
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("mikga/pattern1")
model = AutoModelForImageClassification.from_pretrained("mikga/pattern1", device_map="auto")