Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Norwegian
whisper
whisper-event
norwegian
Eval Results (legacy)
Instructions to use NbAiLab/whisper-small-nob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/whisper-small-nob with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-small-nob")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/whisper-small-nob") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-small-nob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NbAiLab/whisper-small-nob: direct link, hf CLI and curl.
- Browser
- Download file 4.67 kB
-
https://huggingface.co/NbAiLab/whisper-small-nob/resolve/main/training_args.bin
- Command line
-
hf download hf://NbAiLab/whisper-small-nob/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NbAiLab/whisper-small-nob/resolve/main/training_args.bin
4.67 kB
- Xet hash:
- d21943a7705b25438dec38f07c60ea000cfafe180102202d233971a71940a6a4
- Size of remote file:
- 4.67 kB
- SHA256:
- f5fbda4ccc2aeb82de978074d03fe5132192feba7834fa1690c754625d725981
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