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:
- fba00f841255211935bddbbbf1e6edcba004f01ecb80cb51c15978f2a8b996d8
- Size of remote file:
- 3.06 GB
- SHA256:
- 5eeaa4b4b2e7dc750a86f0904797221f08de5028239fc72f25bd276a772000c1
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