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")# pip install -U transformers accelerate # 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
(Trained with Unsloth)
Browse files- model.safetensors +3 -0
model.safetensors
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