# Lightweight distilled model

A lightweight and accelerated version of the Norwegian automatic speech recognition model developed by the National Library of Norway, reducing parameter count through distillation while maintaining transcription quality.

A multilingual natural language inference model supporting over 100 languages, suitable for zero-shot classification tasks

MiniLM v2 is a lightweight language model distilled by Microsoft from RoBERTa-Large, featuring high efficiency and compactness.

This is a lightweight version of distilbert-base-multilingual-cased, supporting English and Hindi while retaining the original model's semantic representation capabilities.