# nlp-training-and-inference-openvino

**Repository Path**: mirrors_intel/nlp-training-and-inference-openvino

## Basic Information

- **Project Name**: nlp-training-and-inference-openvino
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-10-24
- **Last Updated**: 2025-09-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Overview 
This repository contains NLP use cases build using Intel's different AI components with a focus on the OpenVINO™ toolkit. Each use case is supported with detailed documentation present in the respective folders.
  
  


  
| Use Case Name   |      Description      |  Folder Name |
|:--------|:-------------|:-----|
| Quantization Aware Training and Inference using OpenVINO™ toolkit |   An End-to-End NLP workflow with Quantization Aware Training using Optimum-Intel\*, and Inference using Optimum-Intel\*, OpenVINO™ Model Server & Optimum-ONNX Runtime with OpenVINO™ Execution Provider | [question-answering-bert-qat](https://github.com/intel/nlp-training-and-inference-openvino/tree/main/question-answering-bert-qat) |