Instructions to use raidavid/whisper-tiny-20240502-no-opendata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raidavid/whisper-tiny-20240502-no-opendata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="raidavid/whisper-tiny-20240502-no-opendata")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("raidavid/whisper-tiny-20240502-no-opendata") model = AutoModelForSpeechSeq2Seq.from_pretrained("raidavid/whisper-tiny-20240502-no-opendata") - Notebooks
- Google Colab
- Kaggle