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Can't import ClassificationModel in Kaggle

See original GitHub issue

Can’t import ClassificationModel in the private notebook in Kaggle (Python 3.7). I start:

!pip install simpletransformers import torch from simpletransformers.classification import ClassificationModel

and get the error on the last command:

ImportError: cannot import name ‘MobileBertConfig’ from ‘transformers’ (/opt/conda/lib/python3.7/site-packages/transformers/init.py)

I tried changing parameter “Environment” = “original environment (2020-07-06)” or “latest environment” - no difference

How to fix it?

Issue Analytics

State:
Created 3 years ago
Comments:7 (3 by maintainers)

Top GitHub Comments

1reaction

vin2015-edemcommented, Jul 11, 2020

I solved the problem with a lack of space by switching from model “BERT” to “DistilBERT”. And this gave a very good result even in 1 or 2 epochs. I made public my notebook - you can see: https://www.kaggle.com/vbmokin/nlp-with-dt-simple-transformers-research This is not a prize contest - this is a contest to test new NLP technologies - https://www.kaggle.com/c/nlp-getting-started Thank you for your amazing library and for your help in using it! Your advice “upgrade transformers” helped me.

0reactions

ThilinaRajapaksecommented, Jul 11, 2020

The same issue here. After removing MobileBertConfig and related MobileBert lines, it worked.

It shouldn’t be necessary to remove them if your transformers version is up to date.

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