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.

Training: Sample workflow for training a named entity recognition model and export the model to a .riva file
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 \nsource /bin/activate\npip install jupyter notebook # If you need to run the notebooks\n

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\npip install nvidia-tao\n

To download the jupyter notebook please:

Download the samples using the ngc cli with the following command

ngc registry resource download-version \"nvidia/tao/tokenclassification_notebook:v1.0\"\n

Instantiate the jupyter notebook server

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

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

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This resource has two notebooks included.\n\n1. Training: Sample workflow for training a named entity recognition model and export the model to a `.riva` file\n2. Deployment: Sample workflow to consume the `.riva` file and deploy it to Riva.\n\nIf you are a seasoned Conversation AI developer we recommend installing TAO and referring to the [TAO documentation](https://docs.nvidia.com/tao/tao-toolkit/text/overview.html) for usage information.\n\n## Pre-Requisites\n\nPlease make sure to install the following before proceeding further:\n\n* python 3.6.9\n* docker-ce > 19.03.5\n* docker-API 1.40\n* nvidia-container-toolkit > 1.3.0-1\n* nvidia-container-runtime > 3.4.0-1\n* nvidia-docker2 > 2.5.0-1\n* nvidia-driver >= 455.23\n\n*Note: A compatible NVIDIA GPU would be required.*\n\n## Installation\n\nWe recommend that you install TAO Toolkit inside a virtual environment. The steps to do the same are as follows \n\n```sh\nvirtualenv -p python3 \nsource /bin/activate\npip install jupyter notebook # If you need to run the notebooks\n```\n\nTAO Toolkit is a python package that is hosted in nvidia python package index. You may install by using python’s package manager, pip.\n\n```sh\npip install nvidia-pyindex\npip install nvidia-tao\n```\n\nTo download the jupyter notebook please:\n\n1. Download the samples using the ngc cli with the following command\n\n```sh\nngc registry resource download-version \"nvidia/tao/tokenclassification_notebook:v1.0\"\n```\n\n2. Instantiate the jupyter notebook server\n\n```sh\njupyter notebook --ip 0.0.0.0 --allow-root --port 8888\n```\n\n## License\n\nBy downloading and using the models and resources packaged with TAO Toolkit Conversational AI, you would be accepting the terms of the Riva [license](https://developer.nvidia.com/riva/ga/license)","displayName","Token Classification Notebook",["D",1680632791194],"publisher","NVIDIA","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/tao/resources/tokenclassification_notebook","rawImageUrl","https://dz112fgwz7ogh.cloudfront.net/logos/Nvidia-Centric-TAO-RIVA.png","canGuestDownload","latestVersionSizeInBytes",24167,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[279,280,281,282,283,284,285],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_247":307,"_287":307,"_288":308,"_290":89},{"_247":305,"_287":305,"_288":306,"_290":89},{"_247":301,"_287":302,"_288":303,"_290":89},{"_247":298,"_287":299,"_288":300,"_290":89},{"_247":294,"_287":295,"_288":296,"_290":89},{"_247":292,"_287":292,"_288":293,"_290":89},{"_247":286,"_287":286,"_288":289,"_290":89},"Transfer Learning","value","filter",{"_291":89,"_287":286},"category","field","Token Classification",{"_291":89,"_287":292},"Natural Language Understanding","uscs_natural_language_understanding",{"_291":297,"_287":295},"application","Named Entity Recognition","uscs_named_entity_recognition",{"_291":297,"_287":299},"Inference","soln_inference",{"_291":304,"_287":302},"technology","Finetuning",{"_291":89,"_287":305},"BERT",{"_291":89,"_287":307},{"_158":1290,"_160":1291},"ngcApps",[1243],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1224":1225,"_1226":1227,"_1228":1229,"_1230":1231,"_1232":320,"_111":348,"_1233":1234,"_1235":60,"_1236":92,"_1237":92,"_1238":1239,"_1240":92,"_1241":1242},"amplitude",{"_1221":1222,"_861":-7,"_1223":35},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1215":1216,"_1217":1218,"_1219":1220},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1786048168129,"1.11.0","defaultSearchSuggestions",{"_1101":428,"_1102":1103,"_1104":1105,"_1106":1107},"announcements",[],"consentState",{"_385":1091,"_1092":92,"_1093":35,"_1094":35,"_1095":1096},"consentConfig",{"_367":368,"_369":370,"_371":372,"_373":374,"_375":376,"_377":378,"_379":380,"_381":382,"_383":384,"_385":386},"showContactAdmin",1786048168131,[],[],[362,363,364,365,366],{"_49":64,"_51":75,"_53":153,"_55":-5,"_57":-5,"_59":60},{"_49":64,"_51":71,"_53":153,"_55":-5,"_57":-5,"_59":60},{"_49":64,"_51":65,"_53":153,"_55":-5,"_57":-5,"_59":60},{"_49":61,"_51":62,"_53":153,"_55":-5,"_57":-5,"_59":60},{"_49":50,"_51":52,"_53":153,"_55":-5,"_57":-5,"_59":60},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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	Files	Compressed Size		Download
v1.3Selected	2	37.65 KB	November 23, 2021 UTC
v1.2	2	37.65 KB	August 20, 2021 UTC