Using Hugging Face transformers for modern NLP inference

                  from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline

model_name = 'distilbert-base-uncased-finetuned-sst-2-english'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

classifier = pipeline(
    task='text-classification',
    model=model,
    tokenizer=tokenizer,
    truncation=True,
)

texts = [
    'The checkout flow is fast and intuitive.',
    'Customer support never replied to my ticket.',
]
print(classifier(texts))