chunk_content: NF-kappa B through CD28 requires reactive oxygen production by 5-lipoxygenase."
  inputs = tokenizer(text, return_tensors="pt")
  Pass the inputs to the model, and print out the model prediction for each token:
  
  
  	Copied
  with torch.no_grad():
      logits = model(**inputs).logits
  
  tokens = inputs.tokens()
  predictions = torch.argmax(logits, dim=2)
  
  for token, prediction in zip(tokens, predictions[0].numpy()):
      print((token, model.config.id2label[pr