Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Urdu
whisper
hf-asr-leaderboard
urdu
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ihanif/whisper-medium-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/whisper-medium-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper-medium-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ihanif/whisper-medium-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/whisper-medium-urdu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0be9add8acdf5e811002079ff10369edab715a16d48a423d37ac257c0684b748
- Size of remote file:
- 3.58 kB
- SHA256:
- 6406a19600ef55b665d6e036bbd71317a735105e08ff51d4b60484c5c5f0047a
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