# low-resource optimization

NLLB-200 Distilled 1.3B is the distilled version of Meta's No Language Left Behind (NLLB) project, supporting translation tasks between 200 languages.

A model fine-tuned on Indonesian Q&A tasks based on IndoBERT, suitable for Indonesian natural language understanding tasks

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base for Persian language datasets, primarily used for Persian speech-to-text tasks.

This model is a Persian speech recognition model fine-tuned based on facebook/wav2vec2-base, suitable for Persian speech-to-text tasks.

Hebrew speech recognition model fine-tuned from facebook/wav2vec2-xls-r-300m with n-gram language model enhancement

This model is a speech recognition model fine-tuned on Russian datasets based on facebook/wav2vec2-base

This model is a fine-tuned version of facebook/wav2vec2-base on an unspecified dataset, suitable for Russian speech processing tasks.