Automatic Speech Recognition
Transformers
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use abdullah090809/whisper-medium-ur-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah090809/whisper-medium-ur-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdullah090809/whisper-medium-ur-v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdullah090809/whisper-medium-ur-v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdullah090809/whisper-medium-ur-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb5a7a5acea21b1c8871b8f2cff853d3448e4eb0e782cb06d7471c1d6dae18b5
- Size of remote file:
- 5.43 kB
- SHA256:
- f88ea3f15444244d82ebc4775904ed6e87f7fbf5d80c8cc37e3a2183ce839e07
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