Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Kannada
whisper
Generated from Trainer
Instructions to use amithm3/whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amithm3/whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amithm3/whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amithm3/whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("amithm3/whisper-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4be1c7febdeedfebc8b7531bada33abf5ac1ec5cbfad84f4aa839cae9b6f5cfe
- Size of remote file:
- 5.3 kB
- SHA256:
- 356cc3a6a6b5ab759dd8e8616011098cc64202238e8720904345ee4dd08cb506
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