Transformers How to use hf-tiny-model-private/tiny-random-LayoutLMv3ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-LayoutLMv3ForSequenceClassification") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForSequenceClassification
processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-LayoutLMv3ForSequenceClassification")
model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-LayoutLMv3ForSequenceClassification", device_map="auto") 
