Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Speech
ASR
Whisper-fine-tuning
Instructions to use shaeel12/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shaeel12/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shaeel12/whisper-tiny-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shaeel12/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("shaeel12/whisper-tiny-urdu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac1a16d1f9362593529b2c7e3714a7f972532df7a3aecdde4a758061e145f489
- Size of remote file:
- 5.39 kB
- SHA256:
- a455a9bc61b27a4371c0789d03cf0a727b9fe501ce429075ac08742474adda47
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