| # Load model directly | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| tokenizer = AutoTokenizer.from_pretrained("OatNapat/finetuned_yelp") | |
| model = AutoModelForSequenceClassification.from_pretrained("OatNapat/finetuned_yelp") | |
| # Use a pipeline as a high-level helper | |
| from transformers import pipeline | |
| nlp = pipeline("text-classification", model="zfox/finetuning-sentiment-model-3000-samples") | |
| text = st.text_input('กรุณาถอดรองเท้า') | |