# Multilingual NLI

A zero-shot classification model fine-tuned on XNLI and ANLI datasets based on facebook/drama-large, supporting natural language inference tasks in 15 languages.

This model is a fine-tuned version of Alibaba-NLP/gte-multilingual-base on the XNLI and ANLI datasets, supporting multilingual natural language inference tasks.

This model is a fine-tuned version of Alibaba-NLP/gte-multilingual-base on the XNLI dataset, supporting multilingual natural language inference tasks.

This is a multilingual model supporting 100 languages, specifically designed for natural language inference (NLI) and zero-shot classification tasks. It is based on the Baidu ERNIE-M architecture and fine-tuned on the XNLI and MNLI datasets.

A multilingual NLI model based on XLM-RoBERTa, specifically designed for zero-shot and few-shot text classification tasks.

This model focuses on the Natural Language Inference (NLI) task, aiming to surpass simple heuristic methods and improve the model's generalization capability in complex reasoning scenarios.

SBERT-large-nli-v2 is a large-scale sentence transformer model based on BERT, specifically designed for sentence similarity calculation and feature extraction.

XLM is a cross-lingual Transformer model pre-trained with masked language modeling and translation language modeling objectives, supporting text classification tasks in 15 languages.

The XLM model is a Transformer-based model pre-trained with masked language modeling objectives, supporting cross-lingual text classification tasks in 15 languages.

Italian zero-shot classification model fine-tuned based on xlm-roberta-large, supporting multilingual text classification

Fast inference text classification model trained on MultiNLI dataset, using MiniLM-L6 architecture