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BertForTokenClassification.from_pretrained('bert-base-uncased') text = "Add a token classification layer to BERT." inputs = tokenizer(text, return_tensors="pt") # Assuming token classification task (e.g., NER) with torch.no_grad(): outputs = model(**inputs) predictions =