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:
- d95e3620831801eaa5a4e61802627d5310bd0dde9dbecf0fd904d1c9e62a6f95
- Size of remote file:
- 4.09 kB
- SHA256:
- cf7f91eb1021f615947c7ff2e4a8a60043afba9bbf4553d540a64aba38b055ba
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