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Added example notebook for translation with ct2 model. #262

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@uahmed93 uahmed93 commented Sep 25, 2024

Description

This PR is adding a translation example to hindi languge via ct2 model.
Issue here
This example depends on CrossFit's PR

Checklist

  • I am familiar with the Contributing Guide.
  • New or Existing tests cover these changes.
  • The documentation is up to date with these changes.

@uahmed93 uahmed93 force-pushed the uahmed/ct2_translation_example_notebook branch 2 times, most recently from 1b7e864 to 5ecd4fe Compare September 27, 2024 07:06
@uahmed93 uahmed93 force-pushed the uahmed/ct2_translation_example_notebook branch from 5ecd4fe to cef1c34 Compare October 2, 2024 13:52
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Left a initial review, thanks for working on this tutorial.

tutorials/translation/ct2_hindi_translation.ipynb Outdated Show resolved Hide resolved
Comment on lines 505 to 511
"/home/uahmed/Desktop/NeMo-Curator/.ndc/lib/python3.10/site-packages/sklearn/base.py:376: InconsistentVersionWarning: Trying to unpickle estimator LinearRegression from version 1.4.2 when using version 1.5.1. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
"https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
" warnings.warn(\n",
"GPU: 0, Part: 0: 0%| | 0/10 [05:33<?, ?it/s]1.74s/it]\n",
"GPU: 0, Part: 0: 100%|██████████| 10/10 [00:17<00:00, 1.77s/it]\n"
]
},
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Given its a tutorial, we should show the output that writing it out, maybe try doing both .

"source": [
"import os\n",
"\n",
"os.environ[\"DASK_DATAFRAME__QUERY_PLANNING\"] = \"False\"\n",
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You can remove this, no need to add it now.

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Yep, this should be removed.

tutorials/translation/ct2_hindi_translation.ipynb Outdated Show resolved Hide resolved
"metadata": {},
"source": [
"# Indic Translation\n",
"This notebook demonstrate an example use of nemo-curator for Indic language generation via translation from English language. This workflow is accelarated by CrossFit, a library that leverages intellegent batching and RAPIDS to accelerate the offline inference on large datasets. \n",
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Would suggest mentioning that we support large scale translation using multi node multi gpu setup

"# Indic Translation\n",
"This notebook demonstrate an example use of nemo-curator for Indic language generation via translation from English language. This workflow is accelarated by CrossFit, a library that leverages intellegent batching and RAPIDS to accelerate the offline inference on large datasets. \n",
"This example uses ctransalte2 model from [here](https://indictrans2-public.objectstore.e2enetworks.net/it2_preprint_ckpts/en-indic-preprint.zip), taken from IndicTrans2 github repo, [here](https://github.com/AI4Bharat/IndicTrans2/tree/main?tab=readme-ov-file#multilingual-translation-models)"
]
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Add a clear demarkation of import section here

tutorials/translation/ct2_hindi_translation.ipynb Outdated Show resolved Hide resolved
"cell_type": "markdown",
"metadata": {},
"source": [
"## Define output directory\n"
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Suggested change
"## Define output directory\n"
"##### Define output directory\n"

]
},
{
"cell_type": "markdown",
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tutorials/translation/ct2_hindi_translation.ipynb Outdated Show resolved Hide resolved
@sarahyurick sarahyurick added the documentation Improvements or additions to documentation label Oct 7, 2024
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uahmed93 commented Oct 8, 2024

Hi @VibhuJawa / @sarahyurick ,
can you please merge this MR ?

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I can leave a more detailed review for focusing on grammar nits, but for now can you please implement the code changes from my review, then rerun the entire notebook (executing from start to bottom and in order)?

"source": [
"import os\n",
"\n",
"os.environ[\"DASK_DATAFRAME__QUERY_PLANNING\"] = \"False\"\n",
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Yep, this should be removed.

"metadata": {},
"outputs": [],
"source": [
"@dataclass\n",
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How about removing this entire cell and creating a new script in https://github.com/NVIDIA/NeMo-Curator/tree/main/nemo_curator/classifiers?

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@VibhuJawa VibhuJawa Oct 10, 2024

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We cant really have another classifier just yet, we have to have this as a tutorial as we dont want to support this globally just yet. We can probably create a utils file here to make this cleaner though.

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Ah ok I see, using a utils file sounds good to me.

"metadata": {},
"outputs": [],
"source": [
"class IndicTranslation(DistributedDataClassifier):\n",
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Same comment as above, why don't we move all of this logic into https://github.com/NVIDIA/NeMo-Curator/tree/main/nemo_curator/classifiers?

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