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:
- 175a4fed9c84ad850159061736ddc7fcad909be651b078e2f071552c933e6881
- Size of remote file:
- 3.31 kB
- SHA256:
- b205c66ad2bb7f5a0a8e996d1ec3df740030f0ba08dc6eb4e681cf8fc403a90c
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