Instructions to use Umer4/UrduAudio2Text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Umer4/UrduAudio2Text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Umer4/UrduAudio2Text")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Umer4/UrduAudio2Text") model = AutoModelForCTC.from_pretrained("Umer4/UrduAudio2Text") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be4a65e69eaa27cbf6026d452c6241b34f557d32f5074a2b0d84bac0961d6cf8
- Size of remote file:
- 2.8 kB
- SHA256:
- 5d12f4c8234877c86ff9ece930242b81eeb882d6aea29c00621332877d44a6c3
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