Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use darthPanda/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darthPanda/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="darthPanda/whisper-tiny-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("darthPanda/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("darthPanda/whisper-tiny-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aef470da7c3c96e72b5beb5976cb86ce0e2117ecf6c503845315b5fa88ff4473
- Size of remote file:
- 4.16 kB
- SHA256:
- f2b58512222e687e23b8868cd7ed87867c3eef8bf67ae01173559f8f5e702809
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