Open-source gyr66-bert-base-chinese-finetuned-ner-onnx model - Free deployment to boost Chinese named entity recognition

Gyr66 Bert Base Chinese Finetuned Ner Onnx

Developed by protectai

This is the ONNX format conversion version of the gyr66/bert-base-chinese-finetuned-ner model, designed for Chinese named entity recognition tasks.

Downloads 171

Release Time : 2/2/2024

Model Overview

This model is a Chinese named entity recognition model based on the BERT architecture, converted to ONNX format to improve inference efficiency.

ONNX Format

Converted to ONNX format, supporting cross-platform deployment and optimized inference performance.

Chinese Support

A named entity recognition model specifically optimized for Chinese text.

BERT Architecture

Fine-tuned based on the powerful BERT pre-trained model.

Chinese Text Processing

Named Entity Recognition

Sequence Labeling

Text Analysis

Chinese Text Entity Extraction

Identify and extract entities such as person names, place names, and organization names from Chinese text.

Information Extraction System

Serve as the core component of an information extraction system to identify key entities in text.

Property	Details
Pipeline Tag	Token - Classification
Base Model	gyr66/bert-base-chinese-finetuned-ner
License	Apache - 2.0

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