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wav2vec2-large-voxpopuli-sv-swedish

Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
wav2vec2
audio
speech
voxpopuli
Eval Results
Inference Endpoints
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  # Wav2vec 2.0 large-voxpopuli-sv-swedish
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- Finetuned version of Facebooks [VoxPopuli-sv large](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) model.
 
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  # Wav2vec 2.0 large-voxpopuli-sv-swedish
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+ Finetuned version of Facebooks [VoxPopuli-sv large](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) model. WER for NST + Common Voice test set (2% of total sentences) is **5.19%**. WER for Common Voice test set is **17.38%**.