Instructions to use ilyes25/kab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilyes25/kab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ilyes25/kab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ilyes25/kab") model = AutoModelForCTC.from_pretrained("ilyes25/kab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c7def4a497ef854412e07a4dea49d32f50a7a1bcba86eeab5c4e5cf2afd9ed5
- Size of remote file:
- 5.37 kB
- SHA256:
- 18ade7deaab991f681e92ea09d44e3102762bbb7a67fb8cdfb8b3b88f6bd600d
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