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Fix issue with HF Model upload tutorial #5359

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titu1994 merged 2 commits into from
Nov 8, 2022
Merged

Fix issue with HF Model upload tutorial #5359

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cbb4972
Add Gradio App to ASR Docs (#5270)
titu1994 Oct 28, 2022
4261239
Fix issue with normalized config for dataset name
titu1994 Oct 28, 2022
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12 changes: 12 additions & 0 deletions docs/source/asr/intro.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,18 @@ we could integrate a language model that would improve our predictions, as well.

And the entire end-to-end ASR model can be trained at once--a much easier pipeline to handle!

A demo below allows evaluation of NeMo ASR models in multiple langauges from the browser:

.. raw:: html

<iframe src="https://hf.space/embed/smajumdar/nemo_multilingual_language_id/+"
width="100%" class="gradio-asr"></iframe>

<script type="text/javascript" language="javascript">
$('.gradio-asr').css('height', $(window).height()+'px');
</script>


The full documentation tree is as follows:

.. toctree::
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16 changes: 11 additions & 5 deletions tutorials/Publish_NeMo_Model_On_Hugging_Face_Hub.ipynb
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Expand Up @@ -458,6 +458,7 @@
{
"cell_type": "code",
"source": [
"# Replace all spaces with `-`\n",
"DATASETS = [\n",
" \"librispeech_asr\",\n",
" \"mozilla-foundation/common_voice_7_0\",\n",
Expand All @@ -466,11 +467,11 @@
" \"Switchboard-1\",\n",
" \"WSJ-0\",\n",
" \"WSJ-1\",\n",
" \"National Singapore Corpus Part 1\",\n",
" \"National Singapore Corpus Part 6\",\n",
" \"VoxPopuli (EN)\",\n",
" \"Europarl-ASR (EN)\",\n",
" \"Multilingual LibriSpeech (2000 hours)\",\n",
" \"National-Singapore-Corpus-Part-1\",\n",
" \"National-Singapore-Corpus-Part-6\",\n",
" \"VoxPopuli-(EN)\",\n",
" \"Europarl-ASR-(EN)\",\n",
" \"Multilingual-LibriSpeech-(2000-hours)\",\n",
"]"
],
"metadata": {
Expand Down Expand Up @@ -520,9 +521,14 @@
"config = OmegaConf.structured(config)\n",
"\n",
"with open_dict(config):\n",
" # Update `model_index` to `model-index`\n",
" model_index = config.pop('model_index')\n",
" config['model-index'] = model_index\n",
"\n",
" # Replace all spaces with `-` in datasets\n",
" normalized_datasets = [ds_name.replace(\" \", \"-\") for ds_name in config['datasets']]\n",
" config['datasets'] = OmegaConf.create(normalized_datasets)\n",
"\n",
"print(OmegaConf.to_yaml(config))"
],
"metadata": {
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