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
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:699b2284cbf320be01d46706c6710910835b53b9f82e1a2eb99214801c05db22
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size 3055544304
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