How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="shaeel12/whisper-tiny-urdu", device_map="auto")
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq

processor = AutoProcessor.from_pretrained("shaeel12/whisper-tiny-urdu")
model = AutoModelForSpeechSeq2Seq.from_pretrained("shaeel12/whisper-tiny-urdu", device_map="auto")
Quick Links

This model was fine-tuned on a combination of the following speech corpuses:

  • ai4bharat/Kathbath (via Hugging Face)
  • google/fleurs (via Hugging Face)
  • Mozilla Common Voice (Urdu Subset): Sourced directly from the official Mozilla Data Collective.
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