Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Urdu
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use stackintel/whisper-small-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stackintel/whisper-small-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="stackintel/whisper-small-ur")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("stackintel/whisper-small-ur") model = AutoModelForSpeechSeq2Seq.from_pretrained("stackintel/whisper-small-ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ef5b344
1
Parent(s): 2f581dd
Training in progress, step 1000
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