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README.md
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If you use this model, please cite the following paper:
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Nikola Ljubešić, Danijel Koržinek, Peter Rupnik, Ivo-Pavao Jazbec. ParlaSpeech-HR -- a freely available ASR dataset for Croatian bootstrapped from the ParlaMint corpus.
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## Metrics
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|dev|0.0311|0.0921|
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|test|0.0222|0.0679|
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## Usage in `transformers`
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```python
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If you use this model, please cite the following paper:
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Nikola Ljubešić, Danijel Koržinek, Peter Rupnik, Ivo-Pavao Jazbec. ParlaSpeech-HR -- a freely available ASR dataset for Croatian bootstrapped from the ParlaMint corpus. http://www.lrec-conf.org/proceedings/lrec2022/workshops/ParlaCLARINIII/pdf/2022.parlaclariniii-1.16.pdf
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## Metrics
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|dev|0.0311|0.0921|
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|test|0.0222|0.0679|
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There are multiple models available, and in terms of CER and WER, the best-performing model is [wav2vec2-large-slavic-parlaspeech-hr-lm](https://huggingface.co/classla/wav2vec2-large-slavic-parlaspeech-hr-lm).
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## Usage in `transformers`
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```python
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