Instructions to use kevin009/whisper-tiny-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevin009/whisper-tiny-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kevin009/whisper-tiny-sv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kevin009/whisper-tiny-sv") model = AutoModelForSpeechSeq2Seq.from_pretrained("kevin009/whisper-tiny-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d18040aea20b164dc13ccd38308f1199adc562f6ca021de436c3e497bcf08d9
- Size of remote file:
- 151 MB
- SHA256:
- a8f01f3964e5268a26490c856f1c6a4590b32312877b6d8eee800be0115ea130
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