NVIDIA NeMo

Introduction

NeMo is a toolkit for creating Conversational AI applications.

NeMo product page.

Introductory video.

The toolkit comes with extendable collections of pre-built modules and ready-to-use models for:

Built for speed, NeMo can utilize NVIDIA's Tensor Cores and scale out training to multiple GPUs and multiple nodes.

Requirements

Python 3.6 or above
Pytorch 1.7.1 or above

Installation

Pip

Use this installation mode if you want the latest released version.

apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython
pip install nemo_toolkit[all]==1.0.0b3

Pip from source

Use this installation mode if you want the a version from particular GitHub branch (e.g main).

apt-get update && apt-get install -y libsndfile1 ffmpeg
pip install Cython
python -m pip install git+https://github.com/NVIDIA/NeMo.git@{BRANCH}#egg=nemo_toolkit[all]

From source

Use this installation mode if you are contributing to NeMo.

apt-get update && apt-get install -y libsndfile1 ffmpeg
git clone https://github.com/NVIDIA/NeMo
cd NeMo
./reinstall.sh

Docker containers:

The easiest way to start training with NeMo is by using NeMo's container. It has all requirements and NeMo 1.0.0rc1 already installed.

docker run --gpus all -it --rm --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/nemo:1.0.0rc1

If you chose to work with main branch, we recommend using NVIDIA's PyTorch container version 20.11-py3 and then installing from GitHub.

docker run --gpus all -it --rm -v <nemo_github_folder>:/NeMo --shm-size=8g \
-p 8888:8888 -p 6006:6006 --ulimit memlock=-1 --ulimit \
stack=67108864 --device=/dev/snd nvcr.io/nvidia/pytorch:20.11-py3

Examples

Simplest application with NeMo. (runs in Google Colab, no local installation necessary)

Lots of other examples in "Examples" folder.

Documentation

Version	Status	Description
Latest		Documentation of the latest (i.e. main) branch
Stable		Documentation of the stable (i.e. v1.0.0b1) branch

Getting help with NeMo

FAQ can be found on NeMo's Discussions board. You are welcome to ask questions or start discussions there.

Tutorials

The best way to get started with NeMo is to checkout one of our tutorials.

Most NeMo tutorials can be run on Google's Colab.

To run tutorials:

Click on Colab link (see table below)
Connect to an instance with a GPU (Runtime -> Change runtime type -> select "GPU" for hardware accelerator)

Tutorials

Domain	Title	GitHub URL
NeMo	Simple Application with NeMo	Voice swap app
NeMo	Exploring NeMo Fundamentals	NeMo primer
NeMo Models	Exploring NeMo Model Construction	NeMo models
ASR	ASR with NeMo	ASR with NeMo
ASR	ASR with Subword Tokenization	ASR with Subword Tokenization
ASR	Speech Commands	Speech commands
ASR	Speaker Recognition and Verification	Speaker Recognition and Verification
ASR	Online Noise Augmentation	Online noise augmentation
ASR	Beam Search and External Language Model Rescoring	Beam search and external language model rescoring
NLP	Using Pretrained Language Models for Downstream Tasks	Pretrained language models for downstream tasks
NLP	Exploring NeMo NLP Tokenizers	NLP tokenizers
NLP	Text Classification (Sentiment Analysis) with BERT	Text Classification (Sentiment Analysis)
NLP	Question answering with SQuAD	Question answering Squad
NLP	Token Classification (Named Entity Recognition)	Token classification: named entity recognition
NLP	Joint Intent Classification and Slot Filling	Joint Intent and Slot Classification
NLP	GLUE Benchmark	GLUE benchmark
NLP	Punctuation and Capitialization	Punctuation and capitalization
NLP	Named Entity Recognition - BioMegatron	Named Entity Recognition - BioMegatron
NLP	Relation Extraction - BioMegatron	Relation Extraction - BioMegatron
TTS	Speech Synthesis	TTS inference
TTS	Speech Synthesis	Tacotron2 training
Tools	CTC Segmentation	CTC Segmentation
Tools	Text Normalization for Text To Speech	Text Normalization

Contributing

We welcome community contributions! Please refer to the CONTRIBUTING.md CONTRIBUTING.md for the process.

License

NeMo is under Apache 2.0 license.

snlpatel001213/NeMo