Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
urdu
mozilla-foundation/common_voice_17_0
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use kingabzpro/whisper-base-urdu-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kingabzpro/whisper-base-urdu-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kingabzpro/whisper-base-urdu-full")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kingabzpro/whisper-base-urdu-full") model = AutoModelForSpeechSeq2Seq.from_pretrained("kingabzpro/whisper-base-urdu-full") - Notebooks
- Google Colab
- Kaggle
Ctrl+K