Automatic Speech Recognition
Transformers
Safetensors
Norwegian
qwen3_asr
nb-asr
normed
Synthetic
🇪🇺 Region: EU
Instructions to use NbAiLab/nb-asr-unn-normed100-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-asr-unn-normed100-10k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-asr-unn-normed100-10k")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("NbAiLab/nb-asr-unn-normed100-10k") model = AutoModelForMultimodalLM.from_pretrained("NbAiLab/nb-asr-unn-normed100-10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
NB-ASR UNN NorMed 100% 10k
Access: This is an internal test model. Please request access to use its files.
Internal synthetic demo for evaluation. This model is part of the NB-ASR project and NorMed.
The experiment compares a Norwegian NB-ASR control with mixtures containing 10%, 50%, or 100% normalized synthetic NorMed training examples. All models were fine-tuned for 10,000 optimizer steps from the same NB-ASR Qwen3-ASR 0.6B checkpoint.
| Model | NorMed synthetic mix | Rows (NB / NorMed) | No-prompt reading-optimised WER | CER | No-prompt overall WER |
|---|---|---|---|---|---|
| NB control | 0% | 205,556 / 0 | 18.20% | 7.51% | 18.78% |
| NorMed 10 | 10% | 925,002 / 102,778 | 17.90% | 7.34% | 18.51% |
| NorMed 50 | 50% | 102,778 / 102,778 | 18.35% | 7.44% | 18.90% |
| NorMed 100 | 100% | 0 / 102,778 | 18.61% | 7.20% | 18.95% |
Scores are from the shared Sprakradet evaluation at step 10,000. The 0%, 10%, and 50% manifests use an empty prompt for normalized examples; the 100% run used the earlier frozen manifest. These are experimental internal checkpoints, not production releases.
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Collection including NbAiLab/nb-asr-unn-normed100-10k
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Internal synthetic NorMed mixture test models from the NB-ASR project. Access to model files requires approval. • 4 items • Updated