Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
urdu
Eval Results (legacy)
Instructions to use kingabzpro/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingabzpro/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kingabzpro/whisper-tiny-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kingabzpro/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("kingabzpro/whisper-tiny-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c37415861457387eb448bde61bd6f1ae66e6138aa2139634777e3ef3b5e644b
- Size of remote file:
- 5.5 kB
- SHA256:
- b22acf54d8a9605c4b3d9859d011e97d25a52923e43a779a1f925ca44759f43f
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