w2v-bert-uk v2.1
Community
- Discord: https://bit.ly/discord-uds
- Speech Recognition: https://t.me/speech_recognition_uk
- Speech Synthesis: https://t.me/speech_synthesis_uk
See other Ukrainian models: https://github.com/egorsmkv/speech-recognition-uk
Overview
This is the model - https://huggingface.co/Yehor/w2v-bert-uk-v2.1 - where tensors are saved in BF16 format.
Cite this work
@misc {smoliakov_2025,
author = { {Smoliakov} },
title = { w2v-bert-uk-v2.1 (Revision 094c59d) },
year = 2025,
url = { https://huggingface.co/Yehor/w2v-bert-uk-v2.1 },
doi = { 10.57967/hf/4554 },
publisher = { Hugging Face }
}
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facebook/w2v-bert-2.0Dataset used to train Yehor/w2v-bert-uk-v2.1-bf16
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Evaluation results
- WER on common_voice_10_0test set self-reported17.340
- CER on common_voice_10_0test set self-reported3.330