Instructions to use ilyes25/ardzdirect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilyes25/ardzdirect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ilyes25/ardzdirect")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ilyes25/ardzdirect") model = AutoModelForCTC.from_pretrained("ilyes25/ardzdirect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6e12c61c700e216891ae85d560c36ad15dff5603d7afc5b0d097f1fd7419329
- Size of remote file:
- 5.3 kB
- SHA256:
- 44861e97067f9e031e4e4ef2459a2dd2a4168e010a462741ba2c97158070f870
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