Update README.md

README.md

@@ -7,10 +7,12 @@ pipeline_tag: automatic-speech-recognition
 license: apache-2.0
 datasets:
 - KBLab/rixvox-v2
+tags:
+- ctranslate2
 ---
 ## KB-Whisper Base
 
-The National Library of Sweden releases a new suite of Whisper models trained on over 50,000 hours of Swedish speech. In evaluations across [FLEURS](https://huggingface.co/datasets/google/fleurs), [CommonVoice](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1) and [NST](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-54/), our best performing model reduces the Word Error Rate (WER) by an average of 47% compared to OpenAI's `whisper-large-v3`. The performance of smaller Whisper model sizes on Swedish speech has also substantially improved, with `kb-whisper-small` outperforming `openai/whisper-large-v3` (a model six times its size).
+The National Library of Sweden releases a new suite of Whisper models trained on over 50,000 hours of Swedish speech. In evaluations across [FLEURS](https://huggingface.co/datasets/google/fleurs), [CommonVoice](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1) and [NST](https://www.nb.no/sprakbanken/en/resource-catalogue/oai-nb-no-sbr-56/), our best performing model reduces the Word Error Rate (WER) by an average of 47% compared to OpenAI's `whisper-large-v3`. The performance of smaller Whisper model sizes on Swedish speech has also substantially improved, with `kb-whisper-small` outperforming `openai/whisper-large-v3` (a model six times its size).
 
 | Model size  |   | FLEURS | CommonVoice | NST  |
 |------------|---------|--------|-------------|------|