Natural Language Processing (NLP)
=================================

.. toctree::
   :maxdepth: 2

   models
   megatron_finetuning
   api


Example scripts for NLP collection can be found under `NeMo/example/nlp/ <https://github.com/NVIDIA/NeMo/tree/main/examples/nlp>`__.

NLP notebook-tutorials are located under `NeMo/tutorials/nlp/ <https://github.com/NVIDIA/NeMo/tree/main/tutorials/nlp>`__
(most NeMo tutorials can be run on `Google's Colab <https://colab.research.google.com/notebooks/intro.ipynb>`_.), more details could be found here at :ref:`tutorials`.

If you're just starting with NeMo, the best way to start is to take a look at:

* `Text Classification (Sentiment Analysis) <https://github.com/NVIDIA/NeMo/blob/main/tutorials/Text_Classification_Sentiment_Analysis>`__ - demonstrates how to a Text Classification model using NeMo NLP collection.
* `NeMo Primer <https://github.com/NVIDIA/NeMo/blob/main/tutorials/00_NeMo_Primer.ipynb>`__ - introduces NeMo, PyTorch Lightning and OmegaConf, and shows how to use, modify, save, and restore NeMo Models
* `NeMo Models <https://github.com/NVIDIA/NeMo/blob/main/tutorials/01_NeMo_Models.ipynb>`__ - fundamental concepts of the NeMo Model
* `NeMo voice swap demo <https://github.com/NVIDIA/NeMo/blob/main/tutorials/NeMo_voice_swap_app.ipynb>`__ - demonstrates how to swap a voice in the audio fragment with a computer generated one using NeMo.