[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:def predict(df, dataloader, model):\n    tmp_array = np.zeros((len(df), 3))\n    with torch.no_grad():\n        model = model.eval()\n        if GPU:\n            model = model.cuda()\n        \n        j = 0\n        for item in tqdm(dataloader):\n            \n            token = item[0]\n            at_mask = item[2]\n            offsets = item[1]\n\n            if GPU:\n                token = token.cuda()\n                at_mask = at_mask.cuda()\n                offsets = offsets.cuda()\n            \n            output = model(token, at_mask, offsets, -2)\n            for zz in output.cpu():\n                tmp_array[j] = zz\n                j+=1\n            \n    return tmp_array'}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]