# Cross-lingual reasoning

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

Multilingual zero-shot classification model supporting 100+ languages, lightweight through distillation

BLOOMZ is a multilingual large language model supporting 46 languages and 13 programming languages, specializing in text generation tasks.

XGLM-7.5B is a multilingual autoregressive language model with 7.5 billion parameters, supporting 30+ languages, trained on a diverse corpus of 500 billion subword tokens.

Representation-based Russian sentence encoder that obtains sentence representations by averaging token embedding vectors

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.