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:
- ed150718332dd188ee41e8c31fce7313afe9aca0d62f687d0648ca35b37faa2f
- Size of remote file:
- 198 MB
- SHA256:
- 48cf2c366884468b3ec1e65c24c1564d6b6a0b65ed1eab93fc6ba9f1888541af
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