# XNLI Fine-tuning

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.

A multilingual text classification model fine-tuned on the XNLI dataset based on multilingual-e5-large, supporting zero-shot classification in 15 languages

A French sentence similarity model based on FlauBERT, fine-tuned on XNLI and STS tasks, capable of mapping text to 768-dimensional vectors

A zero-shot classifier based on SELECTRA, fine-tuned on the Spanish portion of the XNLI dataset, suitable for zero-shot classification tasks.

Spanish zero-shot classifier fine-tuned on SELECTRA model with 41M parameters, achieving 0.807 accuracy on XNLI dataset