from transformers import AutoTokenizer, AutoModelForSequenceClassification

# Load model and tokenizer
model_name = 'bert-base-uncased'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

# Process text
text = "Transformers are revolutionizing NLP"
inputs = tokenizer(text, return_tensors='pt')

# Get predictions
outputs = model(**inputs)
print(outputs.logits)