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:
- ddd31f2ffecde3bb7c8688c0613c5c94591b6c796868d99df95b0785dc5d0678
- Size of remote file:
- 5.43 kB
- SHA256:
- 7a9379230f3a88bef24805f4946e2f862e519741dcc6d4a278a8ad57fb31d7b1
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