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Zeroaraelectra
Z
Zeroaraelectra
Developed by KheireddineDaouadi
A zero-shot classification model for Arabic, supporting natural language inference tasks
Downloads 39
Release Time : 3/2/2022
Model Overview
This model is a PyTorch-based zero-shot classification model specifically designed for Arabic natural language inference tasks, compatible with the XNLI dataset.
Model Features
Zero-shot Classification
Capable of performing classification tasks without task-specific training data.
Multilingual Support
Specialized in Arabic language processing, ideal for Arabic natural language inference tasks.
Based on XNLI Dataset
Trained and evaluated using the XNLI dataset, suitable for cross-lingual natural language inference.
Model Capabilities
Zero-shot Classification
Natural Language Inference
Arabic Text Processing
Use Cases
Text Classification
Sentiment Analysis
Classify sentiment in Arabic text without requiring specific training data.
Natural Language Inference
Textual Entailment Recognition
Determine the logical relationship (entailment, contradiction, or neutral) between two Arabic sentences.
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