Automatic Speech Recognition
Transformers
Safetensors
Norwegian Bokmål
whisper
trimmed
🇪🇺 Region: EU
Instructions to use alphaedge-ai/whisper-tiny-nob-16384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alphaedge-ai/whisper-tiny-nob-16384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alphaedge-ai/whisper-tiny-nob-16384")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("alphaedge-ai/whisper-tiny-nob-16384") model = AutoModelForSpeechSeq2Seq.from_pretrained("alphaedge-ai/whisper-tiny-nob-16384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card for Norwegian Bokmål
Browse files
README.md
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## Model Statistics
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| Metric | Original | Trimmed | Reduction |
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| **Vocabulary size** | 51,865 tokens | 16,384 tokens | **
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| **Model size** | 37,760,640 params | 24,135,936 params | **36.08%** |
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## Model Statistics
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| Metric | Original | Trimmed | Reduction |
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| **Vocabulary size** | 51,865 tokens | 16,384 tokens | **68.41%** |
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| **Model size** | 37,760,640 params | 24,135,936 params | **36.08%** |
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