Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Norwegian
whisper
whisper-event
norwegian
Eval Results (legacy)
Instructions to use NbAiLabArchive/whisper-large-v2-nob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/whisper-large-v2-nob with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/whisper-large-v2-nob")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/whisper-large-v2-nob") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/whisper-large-v2-nob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
event
Browse files
README.md
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# Whisper
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) trained on several datasets.
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# Whisper Large Norwegian Bokmål
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) trained on several datasets.
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