Instructions to use razhan/whisper-small-ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/whisper-small-ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="razhan/whisper-small-ckb")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("razhan/whisper-small-ckb") model = AutoModelForSpeechSeq2Seq.from_pretrained("razhan/whisper-small-ckb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 116c09f3c26e3f3c199e90d42d620616d77feaacabf3d352311d4ce8507b7351
- Size of remote file:
- 967 MB
- SHA256:
- fcf4c948f622c15d344992a5d28407ee154ea00dca7ccd2b28fe48e81ccad243
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