Automatic Speech Recognition
Transformers
PyTorch
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Alexao/whisper-tiny-swe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexao/whisper-tiny-swe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alexao/whisper-tiny-swe")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Alexao/whisper-tiny-swe") model = AutoModelForSpeechSeq2Seq.from_pretrained("Alexao/whisper-tiny-swe") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66bdd4bf47404c00389785fc0e48e2ffde5823c69674569cb7402dfab8c8c6f8
- Size of remote file:
- 151 MB
- SHA256:
- 6eca0a45de4a9b95a06ab632dad3c860dddc61b1d5deb0f33d96a0f92a91e3d2
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