Instructions to use kojo-george/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kojo-george/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kojo-george/model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("kojo-george/model") model = AutoModelForCTC.from_pretrained("kojo-george/model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8f14469771fef5c1e9b62c4174048044ea44acfb1c29098a692f2dbd2a5de74
- Size of remote file:
- 5.11 kB
- SHA256:
- c789d27c7fc0800dbadeeaf64720e33c71d9c93ca1b316076e6c143d40aeb319
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