ContainersNVIDIADeepSeek-R1NVIDIALlama-3.1-Nemotron-70B-InstructNVIDIAPyTorch
CollectionsNVIDIAOmniverse Kit (FB)NVIDIADeepStream SDKNVIDIAOmniverse Kit App Streaming
ModelsNVIDIAStyleGAN3 pretrained modelsNVIDIAPeopleNetNVIDIATrafficCamNet
ResourcesNVIDIARiva Skills Quick Start
Helm ChartsNVIDIAGPU OperatorNVIDIANVIDIA NIM Operator
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT for TensorFlow1
Resource
NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
BERT for TensorFlow1

BERT is a method of pre-training language representations which obtains state-of-the-art results on a wide array of NLP tasks.

Changelog

June 2020

  • Results obtained using 20.06 and on DGX A100 40GB

Janurary 2020

  • Added inference with TensorRT

November 2019

  • Pre-training and Finetuning on BioMedical tasks and corpus

October 2019

  • Disabling Grappler Optimizations for improved performance

September 2019

  • Pre-training using LAMB
  • Multi Node support
  • Fine Tuning support for GLUE (CoLA, MNLI, MRPC)

July 2019

  • Results obtained using 19.06
  • Inference Studies using Triton Inference Server

March 2019

  • Initial release

Known issues

There are no known issues with this model.

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.