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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1547c986e1f8c786d4095b078c04f6c51d2325924423e0ac828c20f69dab6af9
- Size of remote file:
- 3.58 kB
- SHA256:
- 4101648f358779c8b95f7177c45ef1bc5599bc59f9556a32332b8640807f5d8b
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