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# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("zfox/finetuning-sentiment-model-3000-samples")
model = AutoModelForSequenceClassification.from_pretrained("zfox/finetuning-sentiment-model-3000-samples")
# 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')
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