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")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/whisper-small-nob") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-small-nob") - Notebooks
- Google Colab
- Kaggle
event
Browse files
README.md
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# Whisper Tiny Norwegian Bokmål
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This model is a fine-tuned version of [openai/whisper-
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It is currently in the middle of a large training. Currently it achieves the following results on the evaluation set:
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- Loss: 0.3230
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# Whisper Tiny Norwegian Bokmål
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) trained on several datasets.
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It is currently in the middle of a large training. Currently it achieves the following results on the evaluation set:
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- Loss: 0.3230
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