class_docstr: A user facing class for text classification
class_docstr_tok: ["A","user","facing","class","for","text","classification"]
code: def test(self, input_filepath, args=None):
      raise NotImplementedError("test() is currently not available")
  
file_path: happy-transformer/happytransformer/happy_word_prediction.py
imports: from dataclasses import dataclass
  from datasets import Dataset
  from typing import List, Optional, Union
  from transformers import AutoModelForMaskedLM, DataCollatorForLanguageModeling, FillMaskPipeline
  from happytransformer.adaptors import get_adaptor
  from happytransformer.args import WPEvalArgs, WPTrainArgs
  from happytransformer.fine_tuning_util import EvalResult, tok_text_gen_mlm, csv_tok_text_gen_mlm
  from happytransformer.happy_transformer import HappyTransformer
label_desc: Use image node_id 5 for calling the HappyWordPrediction obj's underlying member method code with example usage: obj.test(input_filepath, args) without return types