I am trying to execute the following code for a nlp proj

import torchtext from torchtext.legacy.data import Field, BucketIterator, Iterator from torchtext.legacy import data ----> 6 from torchtext.legacy.data import Field, BucketIterator, Iterator 7 from torchtext.legacy import data 8 ModuleNotFoundError: No module named 'torchtext.legacy'.

I have tried it on both kaggle notebook and jupyter notebook and found the same error in both. i even tried to install !pip install -qqq deepmatcher==0.1.1 in kaggle to solve the issue but it still gives the same error. is there any solution to this?

3 Answers

Before you import torchtext.legacy, you need to !pip install torchtext==0.10.0.

Maybe legacy was removed in version 0.11.0.

1

torchtext.legacy is only for pytorch1.9+

for those who use lower version of pytorch (e.g. I use the pytorch1.6 + torchtext 0.6), you can revise the "train_ebr.py" script in the "fairseq" folders.

# old from torchtext.legacy import data, datasets from torchtext.legacy.vocab import Vocab # new from torchtext import data, datasets from torchtext.vocab import Vocab

Use torchtext version v0.6 and corresponding compatibility version of torch.

!pip install torchtext==0.6 torch==1.5 (In colab) Restart runtime after excuting this line

Then you can use

from torchtext.data import Field, TabularDataset, BucketIterator, Iterator

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