# Multilingual pre-training fine-tuning
Wav2vec2 Large Xls R 300m Slovenian
Apache-2.0
This model is a speech recognition model fine-tuned on the Common Voice Slovenian dataset based on facebook/wav2vec2-xls-r-300m, with a word error rate of 0.3271.
Speech Recognition
Transformers

W
bekirbakar
278
0
Wav2vec2 Xlsr 300m Finnish Lm
Apache-2.0
A Finnish automatic speech recognition model fine-tuned based on facebook/wav2vec2-xls-r-300m, trained with 275.6 hours of Finnish annotated data, supports use with KenLM language model.
Speech Recognition
Transformers Other

W
Finnish-NLP
28.39k
0
Wav2vec2 Xlsr 300m Finnish
Apache-2.0
An acoustic model fine-tuned for Finnish automatic speech recognition based on facebook/wav2vec2-xls-r-300m, trained with 275.6 hours of annotated Finnish speech data
Speech Recognition
Transformers Other

W
aapot
96
0
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