Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
TensorBoard
ONNX
Safetensors
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLab/nb-whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/nb-whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/nb-whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/nb-whisper-tiny") - Notebooks
- Google Colab
- Kaggle
| { | |
| "test_clean_stortinget_no": { | |
| "cer": 9.407425722174146, | |
| "exact_cer": 10.179308669958715, | |
| "exact_wer": 20.976500669670035, | |
| "wer": 16.820181301188423 | |
| }, | |
| "test_nst": { | |
| "cer": 2.646591227906107, | |
| "exact_cer": 2.775711149688169, | |
| "exact_wer": 9.00694102858392, | |
| "wer": 8.116084604033448 | |
| } | |
| } |