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Check out the documentation for more information.

from transformers import AutoTokenizer, AutoModelForSequenceClassification

Load model and tokenizer

tokenizer = AutoTokenizer.from_pretrained("sekhinah/Talk_Shield_English") model = AutoModelForSequenceClassification.from_pretrained("sekhinah/Talk_Shield_English")

Example usage

text = "You are such an idiot!" inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True) outputs = model(**inputs) prediction = outputs.logits.sigmoid() # multi-label classification print(prediction)

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