# Multilingual fine-tuning

Text summarization model fine-tuned on Norwegian dataset based on google/mt5-small

A Romanian semantic understanding model fine-tuned based on sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2, compact in size yet outstanding in performance

This is the Japanese version of the DeepSeek R1 model, specifically fine-tuned for Japanese reasoning tasks and capable of reliably and accurately responding to prompts in Japanese.

This model is a fine-tuned version of Whisper Base on a general speech dataset, specifically adapted for Uzbek (uz) speech recognition tasks.

A fine-tuned version based on the google/mt5-small model on an unknown dataset, primarily used for English to Spanish summarization tasks.

A summarization model fine-tuned on the Amazon English-Spanish dataset based on google/mt5-small, supporting English to Spanish text summarization tasks.

A Norwegian sentence embedding model fine-tuned based on jina-embeddings-v2-base-en, focusing on keyword document search and sentence similarity tasks

A translation model fine-tuned on Russian-Kabardian datasets based on facebook/m2m100_1.2B

An English-Spanish translation model fine-tuned from facebook/mbart-large-50, demonstrating excellent performance on evaluation sets.

Mongolian mGPT 1.3B is a language model with 1.3 billion parameters specifically designed for Mongolian, supporting natural language processing tasks related to Mongolian.

An English - Gujarati translation model fine-tuned based on facebook/mbart-large-50-many-to-many-mmt

This model is a Hungarian summarization generation model fine-tuned on mBART-large-50, specifically designed for generating abstractive summaries of Hungarian texts.

A multilingual summarization model based on mT5, specifically fine-tuned for Arabic on the XLSum dataset

This model is a Portuguese text summarization model fine-tuned from mT5_multilingual_XLSum on an unknown dataset

This model is a generative summarization model fine-tuned on the Persian summarization dataset pn_summary based on mT5_multilingual_XLSum

A speech recognition model fine-tuned based on facebook/wav2vec2-large-xlsr-53, supporting Bemba language

Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-large-xlsr-129

MahaBERT is a Marathi BERT model fine-tuned based on a multilingual BERT model, suitable for Marathi natural language processing tasks.

English-Spanish translation model fine-tuned from google/mt5-small, optimized for Amazon-related texts

This is a text summarization model based on the mT5-small architecture, fine-tuned on the German MLSUM dataset

A model fine-tuned on Amharic text based on XLM-RoBERTa, outperforming the original XLM-RoBERTa in Named Entity Recognition tasks

This is a BERT model optimized for the Igbo language, obtained by fine-tuning on top of the multilingual BERT, and it performs better than the base multilingual model in Igbo text processing tasks.

Multilingual token classification model fine-tuned on the Dutch CoNLL-2002 dataset based on XLM-RoBERTa-large

Amharic language model fine-tuned based on multilingual BERT, achieved by vocabulary replacement and fine-tuning, outperforming the original multilingual model in NER tasks

A Swahili-specific model fine-tuned based on the multilingual BERT model, outperforming the original multilingual BERT in text classification and named entity recognition tasks.

English-Hungarian neural machine translation model fine-tuned on mT5-small, trained on OPUS corpus

Yoruba-to-English machine translation model fine-tuned based on mbart-large-50

A model fine-tuned on Luganda text based on XLM-RoBERTa, outperforming the base model in Named Entity Recognition tasks