Bart Large Mnli Openvino
This is the OpenVINO optimized version of the facebook/bart-large-mnli model for zero-shot text classification tasks.
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Release Time : 10/28/2024
Model Overview
This model is based on the BART architecture, specifically designed for zero-shot text classification tasks and supports multilingual inference. Optimized with OpenVINO, it enhances inference efficiency.
Model Features
OpenVINO Optimization
Optimized with OpenVINO tools to improve model inference efficiency
Zero-shot Classification
Classify new categories without fine-tuning
Multilingual Support
Trained on the MNLI dataset, supports multilingual text classification
Model Capabilities
Zero-shot text classification
Multilingual text understanding
Natural language inference
Use Cases
Text classification
Sentiment Analysis
Classify text sentiment without training
Topic Classification
Classify news or articles by topic
Natural Language Processing
Textual Entailment
Determine the logical relationship between two texts
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