N-Gram Language Model Notebook

LM, or Language model, Language Models estimate the probability distriubtion of sequences of words. In general, this is a large task, with arbitrary sequence lengths, so it is often assumed that the probability of a word is only dependent on the N words preceding it. This is known as an N-Gram Language Model. An N-Gram model of order N saves the counts of all observed sequences of words in the training data of lengths one (known as unigrams) to lengths N. During inference, if an N-gram sequence not seen during training is queried, the sequence is then simplified to the probability of the N-1 last words, weighted by a calculated backoff probability.

The best place to get started with TAO Toolkit - LM would be the TAO - N-Gram LM jupyter notebooks sample enclosed in this sample.

This resource has 1 notebook included.

1. Training: Sample workflow for training an ASR model and export the model to a .riva file

If you are a seasoned Conversation AI developer we recommend installing TAO and referring to the TAO documentation for detailed information.

Pre-Requisites

Please make sure to install the following before proceeding further:

• python 3.6.9
• docker-ce > 19.03.5
• docker-API 1.40
• nvidia-container-toolkit > 1.3.0-1
• nvidia-container-runtime > 3.4.0-1
• nvidia-docker2 > 2.5.0-1
• nvidia-driver >= 455.23

Note: A compatible NVIDIA GPU would be required.

Installation

We recommend that you install TAO Toolkit inside a virtual environment. The steps to do the same are as follows

virtualenv -p python3 
source /bin/activate
pip install jupyter notebook # If you need to run the notebooks

TAO Toolkit is a python package that is hosted in nvidia python package index. You may install by using python’s package manager, pip.

pip install nvidia-pyindex
pip install nvidia-tao

To download the jupyter notebook please:

1. Download the samples using the ngc cli with the following command

ngc registry resource download-version "nvidia/tao/ngram_lm_notebook:v1.0"

2. Instantiate the jupyter notebook server

jupyter notebook --ip 0.0.0.0 --allow-root --port 8888

License

By downloading and using the models and resources packaged with TAO Toolkit Conversational AI, you would be accepting the terms of the Riva license