Instructions to use ilyes25/ardzdirect3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilyes25/ardzdirect3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ilyes25/ardzdirect3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ilyes25/ardzdirect3") model = AutoModelForCTC.from_pretrained("ilyes25/ardzdirect3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59105c410f5d63881aa6bd50c85c054bb3d71926576161d4add96bbe5387c421
- Size of remote file:
- 5.3 kB
- SHA256:
- 267799b2636f5dc633b71b315d44a732095c9b08dd347433cd848e5e40ac2edf
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