Update README.md

README.md

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 # Norwegian Wav2Vec2 Model - 300M - VoxRex - Bokmål
-This model is finetuned on top of feature extractor [VoxRex-model](https://huggingface.co/KBLab/wav2vec2-large-voxrex) from the National Library of Sweeden. The finefinetuned model achieves the following results on the test set with a 5-gram KenLM. Numbers in parenthesis is without the language model:
+This model is finetuned on top of feature extractor [VoxRex-model](https://huggingface.co/KBLab/wav2vec2-large-voxrex) from the National Library of Sweeden. The finetuned model achieves the following results on the test set with a 5-gram KenLM. Numbers in parenthesis are without the language model:
 - **WER: 0.0703** (0.0979)
 - **CER: 0.0269** (0.0311)
 
@@ -40,8 +40,8 @@ This is one of several Wav2Vec-models created during the 🤗 hosted [Robust Spe
 | Model         | Final WER   | |
 |:--------------|:------------|:------------:|
 | [NbAiLab/nb-wav2vec2-1b-bokmaal](https://huggingface.co/NbAiLab/nb-wav2vec2-1b-bokmaal) |  6.33 |                                          |
-| [NbAiLab/nb-wav2vec2-300m-bokmaal](https://huggingface.co/NbAiLab/nb-wav2vec2-300m-bokmaal) |  7.03 |                                      |
-| NbAiLab/nb-wav2vec2-300m-nynorsk (this model) | 12.22  |                                                |
+| NbAiLab/nb-wav2vec2-300m-bokmaal (this model) |  7.03 |                                      |
+| [NbAiLab/nb-wav2vec2-300m-nynorsk](https://huggingface.co/NbAiLab/nb-wav2vec2-300m-nynorsk) | 12.22  |                                                |
 ## Dataset
 In parallell with the event, the team also converted the [Norwegian Parliamentary Speech Corpus (NPSC)](https://huggingface.co/datasets/NbAiLab/NPSC) to the 🤗 Dataset format and used that as the main source for training.