Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
urdu
mozilla-foundation/common_voice_17_0
Eval Results (legacy)
Instructions to use sharjeel103/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharjeel103/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sharjeel103/whisper-tiny-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sharjeel103/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("sharjeel103/whisper-tiny-urdu") - Notebooks
- Google Colab
- Kaggle
Update README.md
#2
by kingabzpro - opened
Please check the notebook for the testing script and results: https://www.kaggle.com/code/kingabzpro/testing-urdu-whisper-tiny?scriptVersionId=250300591
sharjeel103 changed pull request status to merged