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")# pip install -U transformers accelerate # 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
Download training_args.bin from NbAiLabArchive/whisper-large-v2-nob: direct link, hf CLI and curl.
- Browser
- Download file 4.67 kB
-
https://huggingface.co/NbAiLabArchive/whisper-large-v2-nob/resolve/main/training_args.bin
- Command line
-
hf download hf://NbAiLabArchive/whisper-large-v2-nob/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NbAiLabArchive/whisper-large-v2-nob/resolve/main/training_args.bin
4.67 kB
- Xet hash:
- 294a77c5251bf6f6c9b18955fcfc82792c7561905d7cf299af3357d83fc356c6
- Size of remote file:
- 4.67 kB
- SHA256:
- 132b30057a9ce348fea4ee91d3c8a7c299c557d1366eff1da76ac092b34138c9
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