Instructions to use kavyamanohar/whisper-small-ml-codemixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kavyamanohar/whisper-small-ml-codemixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kavyamanohar/whisper-small-ml-codemixed")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kavyamanohar/whisper-small-ml-codemixed") model = AutoModelForSpeechSeq2Seq.from_pretrained("kavyamanohar/whisper-small-ml-codemixed") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Fine-tune openai/whisper-small on processed data from processed_malayalam_combined/hf_format
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