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Token Classification Notebook

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Description

End to End sample workflow for Token Classification starting with training in TAO Toolkit and deployment using Riva.

Publisher

NVIDIA

Use Case

Other

Framework

TransferLearningToolkit

Latest Version

v1.3

Modified

April 8, 2022

Compressed Size

23.6 KB

Named Entity Recognition

Named entity recognition (NER), also referred to as entity chunking, identification or extraction, is the task of detecting and classifying key information (entities) in text.

For example, in a sentence: Mary lives in Santa Clara and works at NVIDIA, we should detect that Mary is a person, Santa Clara is a location and NVIDIA is a company.

The best place to get started with TAO Toolkit - NER would be the TAO - NER jupyter notebooks enclosed with this sample. This resource has two notebooks included.

  1. Training: Sample workflow for training a named entity recognition model and export the model to a .riva file
  2. Deployment: Sample workflow to consume the .riva file and deploy it to Riva.

If you are a seasoned Conversation AI developer we recommend installing TAO and referring to the TAO documentation for usage 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/tokenclassification_notebook:v1.0"
  1. 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