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README.md

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 # Wav2vec 2.0 large VoxRex Swedish
 
-Additionally pretrained and finetuned version of KBs [VoxRex large](https://huggingface.co/KBLab/wav2vec2-large-voxrex) model using Swedish radio broadcasts, NST and Common Voice data. Evalutation without a language model gives the following: WER for NST + Common Voice test set (2% of total sentences) is **3.40%**. WER for Common Voice test set is **10.72%** directly and **8.71%** with a 4-gram language model.
+Finetuned version of KBs [VoxRex large](https://huggingface.co/KBLab/wav2vec2-large-voxrex) model using Swedish radio broadcasts, NST and Common Voice data. Evalutation without a language model gives the following: WER for NST + Common Voice test set (2% of total sentences) is **3.40%**. WER for Common Voice test set is **10.72%** directly and **8.71%** with a 4-gram language model.
 
 When using this model, make sure that your speech input is sampled at 16kHz.