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
- Xet hash:
- 8a08043e151ab5a64815ebbb1db60425087b718482557c18689677b8f17771e8
- Size of remote file:
- 48.3 MB
- SHA256:
- 5c92fee9e1f438e4f537ef5956d2c9b0e4f91d95062a7fe39f919aab5d7e7bdc
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