Automatic Speech Recognition
Transformers
PyTorch
Kannada
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use parambharat/whisper-tiny-kn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parambharat/whisper-tiny-kn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="parambharat/whisper-tiny-kn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("parambharat/whisper-tiny-kn") model = AutoModelForSpeechSeq2Seq.from_pretrained("parambharat/whisper-tiny-kn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58d713254625920ba7646ad47d79130d912ac672d84e72f9d4e30d6ad9f51dba
- Size of remote file:
- 151 MB
- SHA256:
- 6a6f6b11746b1d7aa9ee6bcdc039bce0e37d544a248761585aeb1295f6e742ee
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