# Cross-lingual Understanding

A multilingual sentiment analysis model based on DistilBERT, suitable for text sentiment classification tasks in multiple languages.

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.

A universal Transformer model supporting over 100 languages, suitable for various natural language processing tasks

Suzume 8B is a multilingual fine-tuned version based on Llama 3, trained on nearly 90,000 multilingual dialogues to enhance multilingual communication capabilities while maintaining Llama 3's intelligence level.

An mT5 many-to-one model fine-tuned on the CrossSum dataset, capable of summarizing texts written in multiple languages into Chinese (Simplified)

A Thai extractive question answering model based on multilingual BERT, case-sensitive, suitable for Thai Q&A tasks.

MiniLMv2 is a lightweight multilingual pre-trained model developed by Microsoft Research, based on the Transformer architecture, suitable for various natural language processing tasks.

A text classification model fine-tuned on the Amazon multilingual review dataset based on xlm-roberta-base

A multilingual QA model based on bert-base-multilingual-uncased, fine-tuned on the XQuAD dataset