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--- |
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base_model: facebook/w2v-bert-2.0 |
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library_name: transformers |
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language: |
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- uk |
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license: "apache-2.0" |
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task_categories: |
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- automatic-speech-recognition |
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tags: |
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- audio |
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datasets: |
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- Yehor/openstt-uk |
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metrics: |
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- wer |
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model-index: |
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- name: w2v-bert-uk-v2.1 |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_10_0 |
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type: common_voice_10_0 |
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config: uk |
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split: test |
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args: uk |
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metrics: |
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|
- name: WER |
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type: wer |
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value: 17.34 |
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- name: CER |
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type: cer |
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value: 3.33 |
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|
--- |
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# w2v-bert-uk `v2.1` |
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## Community |
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- **Discord**: https://bit.ly/discord-uds |
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- Speech Recognition: https://t.me/speech_recognition_uk |
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- Speech Synthesis: https://t.me/speech_synthesis_uk |
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See other Ukrainian models: https://github.com/egorsmkv/speech-recognition-uk |
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## Overview |
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This is the model - https://huggingface.co/Yehor/w2v-bert-uk-v2.1 - where tensors are saved in BF16 format. |
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## Cite this work |
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``` |
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@misc {smoliakov_2025, |
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author = { {Smoliakov} }, |
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title = { w2v-bert-uk-v2.1 (Revision 094c59d) }, |
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year = 2025, |
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url = { https://huggingface.co/Yehor/w2v-bert-uk-v2.1 }, |
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doi = { 10.57967/hf/4554 }, |
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publisher = { Hugging Face } |
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} |
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``` |
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|
