Instructions to use Talha/URDU-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Talha/URDU-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Talha/URDU-ASR")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Talha/URDU-ASR") model = AutoModelForCTC.from_pretrained("Talha/URDU-ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c22e0d2cb79c2ddcd9f046697670aeede5a9b9dd804788e9526b227ad0064658
- Size of remote file:
- 76.5 MB
- SHA256:
- e43e9614c504ebc5d38bf8e173fb8b1f08f19a0f49ffe32e799b876746fd5fdb
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