Transformers How to use G-dawg/table_experimental with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("object-detection", model="G-dawg/table_experimental") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForObjectDetection
processor = AutoImageProcessor.from_pretrained("G-dawg/table_experimental")
model = AutoModelForObjectDetection.from_pretrained("G-dawg/table_experimental", device_map="auto") 
