Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malayalam
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-small-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-small-ml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-small-ml")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-small-ml") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-small-ml") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 338a9caa8f0d8f3ddde96d461c10b20c493fd141d000a95a76542b0d21beb90b
- Size of remote file:
- 5.43 kB
- SHA256:
- c0a16e1ff5434a9aa382657437ba9e62dea6a8219493fb8e4cbb98e9e827f69d
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