Transformers How to use hf-tiny-model-private/tiny-random-LayoutLMForSequenceClassification 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-LayoutLMForSequenceClassification") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-LayoutLMForSequenceClassification")
model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-LayoutLMForSequenceClassification", device_map="auto") 
