Instructions to use kavyamanohar/whisper-tiny-ml-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kavyamanohar/whisper-tiny-ml-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kavyamanohar/whisper-tiny-ml-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kavyamanohar/whisper-tiny-ml-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("kavyamanohar/whisper-tiny-ml-2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K