Open-source MoritzLaurer-roberta-base-zeroshot-v2.0-c-onnx model - Free deployment for zero-shot classification

Moritzlaurer Roberta Base Zeroshot V2.0 C Onnx

Developed by protectai

This is the ONNX format conversion of the MoritzLaurer/roberta-base-zeroshot-v2.0-c model, suitable for zero-shot classification tasks.

Downloads 14.94k

Release Time : 4/11/2024

Model Overview

This model is a zero-shot classification model based on the RoBERTa architecture, converted to ONNX format to improve deployment efficiency.

ONNX format

Converted to ONNX format for easy deployment and inference across different platforms.

Zero-shot classification

Capable of classification without task-specific training data.

Based on RoBERTa

Utilizes the powerful RoBERTa-base architecture with excellent text comprehension capabilities.

Text classification

Zero-shot learning

Multi-label classification

Text analysis

Sentiment analysis

Classify text sentiment without training.

Topic classification

Classify documents by topic without topic-specific training data.

Content moderation

Harmful content detection

Identify harmful or inappropriate content in text.

Property	Details
Pipeline Tag	Zero-shot Classification
Base Model	MoritzLaurer/roberta-base-zeroshot-v2.0-c
License	Apache 2.0

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