Zero Shot Classification

Enhanced model for multilingual tasks with multitask support.

Focuses on natural language inference, bridging various contexts.

DeBERTa model focused on natural language inference tasks.

Large XLM-RoBERTa model for cross-lingual natural language inference.

Developed for cross-lingual inference with a multilingual focus.

A model focused on natural language inference tasks using DeBERTa.

A zero-shot model leveraging modern BERT techniques for flexible use.

Constructed for multitask learning with a focus on high versatility.

Small-sized DeBERTa model fine-tuned for classification tasks.

Robust model for natural language inference tasks in Russian.

Supports two-way natural language inference in Russian.

A compact bilingual model for natural language inference tasks.

DistilBERT model specialized for various Turkish NLP tasks.

DistilBERT model fine-tuned for multi-genre natural language inference.

MobileBERT designed for efficient multi-genre NLI.

DistilBART model for efficient multi-genre natural language inference.

Another variant of distilBART optimized for NLI tasks.

Large DeBERTa model for a variety of natural language inference tasks.

Utilizes DeBERTa architecture for zero-shot learning tasks.

A modern BERT model for natural language inference tasks.

Integrates language models with vision capabilities for comprehensive multimodal tasks.

Combines linguistic tasks with visual understanding for comprehensive analyses.