Transformers How to use hf-internal-testing/tiny-random-LayoutLMv2ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-LayoutLMv2ForSequenceClassification") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForSequenceClassification
processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-LayoutLMv2ForSequenceClassification")
model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-LayoutLMv2ForSequenceClassification", device_map="auto") 
