Deberta V3 Large Mnli Fever Anli Ling Wanli Binary
This model is a zero-shot classification model based on the DeBERTa-v3-large architecture, primarily trained on five NLI datasets, suitable for tasks that strictly follow the original NLI task format.
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Release Time : 11/27/2023
Model Overview
This model is mainly used for text classification tasks, especially in zero-shot classification scenarios. It was created as a comparative benchmark for another more comprehensive model, suitable for tasks that strictly adhere to the original NLI task format.
Model Features
NLI dataset training
The model was trained on five NLI datasets, focusing on natural language inference tasks.
Zero-shot classification capability
Supports zero-shot classification tasks without requiring task-specific fine-tuning.
Comparative benchmark
Primarily created as a comparative benchmark for more comprehensive models.
Model Capabilities
Text classification
Zero-shot inference
Natural language inference
Use Cases
Text analysis
Zero-shot text classification
Classify unseen text categories without requiring specific training data.
Natural language inference
Determine the logical relationship between two sentences (entailment, contradiction, or neutral).
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