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:
- 56e7a58e48c2eef4b82daf6a4fe2547ade46ea645446534e0bf56a3b836dfb58
- Size of remote file:
- 3.5 kB
- SHA256:
- f1618294059ed9e1d61d561c35575e84c0a6afba19beebbcd8a5efc0f0993690
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