G-dawg

/

table_final

like 0

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

pipe = pipeline("object-detection", model="G-dawg/table_final")

# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection

processor = AutoImageProcessor.from_pretrained("G-dawg/table_final")
model = AutoModelForObjectDetection.from_pretrained("G-dawg/table_final")