Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use razhan/whisper-base-ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/whisper-base-ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="razhan/whisper-base-ckb")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("razhan/whisper-base-ckb") model = AutoModelForSpeechSeq2Seq.from_pretrained("razhan/whisper-base-ckb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d22333b8a68f2fa558a975b159b65926b59d5c74b903d665815a2db5458bf018
- Size of remote file:
- 6.14 kB
- SHA256:
- d855fad31bdbe2a19c0a727a2d8d8b91f0c92e18f1d8891d8bd679f3c98d8d7b
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