text: # AUTOGENERATED BY NBDEV! DO NOT EDIT!
  
  __all__ = ["index", "modules", "custom_doc_links", "git_url"]
  
  index = {"str_to_class": "00_utils.ipynb",
           "Singleton": "00_utils.ipynb",
           "ModelHelper": "00_utils.ipynb",
           "BLURR_MODEL_HELPER": "00_utils.ipynb",
           "HF_ARCHITECTURES": "00_utils.ipynb",
           "HF_TASKS_ALL": "00_utils.ipynb",
           "HF_TASKS_AUTO": "00_utils.ipynb",
           "HF_BaseInput": "01_data-core.ipynb",
           "HF_BeforeBatchTransform": "01_data-core.ipynb",
           "HF_AfterBatchTransform": "01_data-core.ipynb",
           "HF_TextBlock": "01_data-core.ipynb",
           "HF_TokenTensorCategory": "01a_data-token-classification.ipynb",
           "HF_TokenCategorize": "01a_data-token-classification.ipynb",
           "HF_TokenCategoryBlock": "01a_data-token-classification.ipynb",
           "HF_TokenClassInput": "01a_data-token-classification.ipynb",
           "HF_TokenClassBeforeBatchTransform": "01a_data-token-classification.ipynb",
           "pre_process_squad": "01b_data-question-answering.ipynb",
           "HF_QuestionAnswerInput": "01b_data-question-answering.ipynb",
           "HF_QABeforeBatchTransform": "01b_data-question-answering.ipynb",
           "HF_Text2TextAfterBatchTransform": "01za_data-text2text-core.ipynb",
           "HF_Text2TextBlock": "01za_data-text2text-core.ipynb",
           "HF_CausalLMBeforeBatchTransform": "01zb_data-text2text-language-modeling.ipynb",
           "HF_SummarizationInput": "01zc_data-text2text-summarization.ipynb",
           "HF_SummarizationBeforeBatchTransform": "01zc_data-text2text-summarization.ipynb",
           "hf_splitter": "02_modeling-core.ipynb",
           "HF_BaseModelWrapper": "02_modeling-core.ipynb",
           "HF_PreCalculatedLoss": "02_modeling-core.ipynb",
           "HF_BaseModelCallback": "02_modeling-core.ipynb",
           "blurr_module_summary": "02_modeling-core.ipynb",
           "Learner.blurr_summary": "02_modeling-core.ipynb",
           "Learner.blurr_predict": "02_modeling-core.ipynb",
           "calculate_token_class_metrics": "02a_modeling-token-classification.ipynb",
           "HF_TokenClassCallback": "02a_modeling-token-classification.ipynb",
           "Learner.blurr_predict_tokens": "02a_modeling-token-classification.ipynb",
           "HF_QstAndAnsModelCallback": "02b_modeling-question-answering.ipynb",
           "MultiTargetLoss": "02b_modeling-question-answering.ipynb",
           "calculate_rouge": "02zc_modeling-text2text-summarization.ipynb",
           "HF_SummarizationModelCallback": "02zc_modeling-text2text-summarization.ipynb",
           "summarization_splitter": "02zc_modeling-text2text-summarization.ipynb",
           "Learner.blurr_summarize": "02zc_modeling-text2text-summarization.ipynb"}
  
  modules = ["utils.py",
             "data/core.py",
             "data/token_classification.py",
             "data/question_answering.py",
             "data/text2text/core.py",
             "data/text2text/language_modeling.py",
             "data/text2text/summarization.py",
             "modeling/core.py",
             "modeling/token_classification.py",
             "modeling/question_answering.py",
             "modeling/text2text/core.py",
             "modeling/text2text/language_modeling.py",
             "modeling/text2text/summarization.py",
             "examples/multilabel_classification.py"]
  
  doc_url = "https://ohmeow.github.io/blurr/"
  
  git_url = "https://github.com/ohmeow/blurr/tree/master/"
  
  def custom_doc_links(name): return None
  