Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Instructions to use Harras111/whisper-tiny-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harras111/whisper-tiny-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Harras111/whisper-tiny-ur")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Harras111/whisper-tiny-ur") model = AutoModelForSpeechSeq2Seq.from_pretrained("Harras111/whisper-tiny-ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dc105005219fd7f1f4efd38a15fac70cfb7cbc8a4b49871a4c556c2356941c3
- Size of remote file:
- 5.43 kB
- SHA256:
- 2c8db308937d8cb8b598ac1f17b213762c79d40545af3c22efadc3592507b37f
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