Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use abdullah090809/whisper-medium-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah090809/whisper-medium-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdullah090809/whisper-medium-ur")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdullah090809/whisper-medium-ur") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdullah090809/whisper-medium-ur") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82b797955ea72c98fc1190fae2aef301d4d948a7cd81045f78dbbc1d7ff9ecaa
- Size of remote file:
- 6.1 GB
- SHA256:
- ab9bc52bc490672f20b6036a0cdcb88c72f342efabf9d5eb663f9caf4162d59b
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