Text Classification

Text Classification is one of the most common tasks in NLP, which is the process of categorizing the text into a group of words. By using NLP, text classification can automatically analyze text and then assign a set of predefined tags or categories based on its context. It is applied in a wide variety of applications, including sentiment analysis, spam filtering, news categorization, domain/intent detection for dialogue systems, etc.

The best place to get started with TAO Toolkit - Text Classification would be the TAO - Text Classification jupyter notebooks. This resource has two notebooks included.

Training: Sample workflow for training a text classification 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/textclassification_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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By using NLP, text classification can automatically analyze text and then assign a set of predefined tags or categories based on its context. It is applied in a wide variety of applications, including sentiment analysis, spam filtering, news categorization, domain/intent detection for dialogue systems, etc.\n\nThe best place to get started with TAO Toolkit - Text Classification would be the TAO - Text Classification jupyter notebooks. This resource has two notebooks included.\n\n1. Training: Sample workflow for training a text classification 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/textclassification_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","Text Classification Notebook",["D",1680631620998],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/tao/resources/textclassification_notebook","rawImageUrl","https://dz112fgwz7ogh.cloudfront.net/logos/Nvidia-Centric-TAO-RIVA.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[245,246,247,248,249,250],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_213":270,"_252":270,"_253":271,"_255":256},{"_213":268,"_252":268,"_253":269,"_255":256},{"_213":264,"_252":265,"_253":266,"_255":256},{"_213":260,"_252":261,"_253":262,"_255":256},{"_213":258,"_252":258,"_253":259,"_255":256},{"_213":251,"_252":251,"_253":254,"_255":256},"Transfer Learning","value","filter",{"_257":256,"_252":251},"category","label","field","Text Classification",{"_257":256,"_252":258},"Natural Language Understanding","uscs_natural_language_understanding",{"_257":263,"_252":261},"application","Inference","soln_inference",{"_257":267,"_252":265},"technology","Finetuning",{"_257":256,"_252":268},"BERT",{"_257":256,"_252":270},{"_113":1250,"_115":1251},"ngcApps",[1203],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1184":1185,"_1186":1187,"_1188":1189,"_1190":1191,"_1192":283,"_144":309,"_1193":1194,"_1195":55,"_1196":92,"_1197":92,"_1198":1199,"_1200":92,"_1201":1202},"amplitude",{"_1181":1182,"_823":-7,"_1183":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1175":1176,"_1177":1178,"_1179":1180},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787856371080,"1.12.0","defaultSearchSuggestions",{"_1063":391,"_1064":1065,"_1066":1067,"_1068":1069},"announcements",[],"consentState",{"_348":1053,"_1054":92,"_1055":31,"_1056":31,"_1057":1058},"consentConfig",{"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349},"showContactAdmin",1787856371081,[],[],[323,324,325,326,327,328],{"_45":59,"_47":70,"_49":108,"_51":-5,"_53":-5,"_54":55},{"_45":59,"_47":68,"_49":108,"_51":-5,"_53":-5,"_54":55},{"_45":59,"_47":66,"_49":108,"_51":-5,"_53":-5,"_54":55},{"_45":59,"_47":60,"_49":108,"_51":-5,"_53":-5,"_54":55},{"_45":56,"_47":57,"_49":108,"_51":-5,"_53":-5,"_54":55},{"_45":46,"_47":48,"_49":50,"_51":52,"_53":329,"_54":55},4,"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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Name	Size	Updated	Actions
text-classification-deployment.ipynbView Notebook	13.9 KB	August 24, 2021 UTC	curl wget Download
text-classification-training.ipynbView Notebook	28.33 KB	August 24, 2021 UTC	curl wget Download