Instructions to use ilyes25/ardzdirect2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilyes25/ardzdirect2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ilyes25/ardzdirect2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ilyes25/ardzdirect2") model = AutoModelForCTC.from_pretrained("ilyes25/ardzdirect2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0c763c97614a2f29c3d2630fb6d25c0757cafe83cfdae53777459ffdef3a5b0
- Size of remote file:
- 5.3 kB
- SHA256:
- 432347d014c4ec5d3ede68bb76a2e6cfdb0f6e4c26a9cfdd03d9760565dc3c80
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