Instructions to use Talha/urdumodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Talha/urdumodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Talha/urdumodel")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Talha/urdumodel") model = AutoModelForCTC.from_pretrained("Talha/urdumodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8554def3008b07148c377a1e0f1fb82eebd98d722ee3eaae7d46ebd7c8445fdf
- Size of remote file:
- 1.26 GB
- SHA256:
- eec111fc7a3720dea437874cbb7bc746296cdf68279c9b0ecfe18808d4502c85
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