I am trying to use the rasa paraphrasing experimental feature but I got this error. --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-4-155149dc867d> in <module>() ----> 1 from model import ParaphraseModel 2 model_path = 'package_models/lm_finetune_8/checkpoint-56000/' 3 4 complete_td = TrainingData() 5 model = ParaphraseModel(model_path) 1 frames /content/model.py in <genexpr>(.0) 15 MAX_LENGTH = int(10000) # Hardcoded max length to avoid infinite loop 16 ---> 17 ALL_MODELS = sum((tuple(conf.pretrained_config_archive_map.keys()) for conf in (GPT2Config, OpenAIGPTConfig)), ()) 18 19 MODEL_CLASSES = { AttributeError: type object 'GPT2Config' has no attribute 'pretrained_config_archive_map'

It’s due to some changes in HF transformer source code. If you go to the models.py file included in the notebook and change ALL_MODELS to: ALL_MODELS = sum((conf for conf in (GPT2Config.get_config_dict("gpt2"), OpenAIGPTConfig.get_config_dict("openai-gpt"))), ()) for gpt2 you can use the following weights: “gpt2”, “gpt2-medium”, “gpt2-large”, “gpt2-xl”, “distilgpt2”

[image] lfabing: models.py Hi, I am facing the same issue. Can you please share the path of this ‘models.py’ file? I am unable to locate it.

RASA NLU Paraphrasing

Rasa Open Source

ayFortune (Ayodeji Ibimilua) June 12, 2020, 9:16pm 3

Thanks, this worked perfectly.

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RASA NLU Paraphrasing

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