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:
- e9bc8c3820695299cb3ea85e2fcb8ee20c569ed00b2f57bfe3adc9cf8c4f05e5
- Size of remote file:
- 5.82 kB
- SHA256:
- fb4baa01f2e0042e7394c6cef75ad2bc45fd5e41a3938a9914128cc3146395b4
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