Instructions to use benjaminogbonna/whisper-tiny-for-nigerian-common-languages-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjaminogbonna/whisper-tiny-for-nigerian-common-languages-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="benjaminogbonna/whisper-tiny-for-nigerian-common-languages-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("benjaminogbonna/whisper-tiny-for-nigerian-common-languages-demo") model = AutoModelForSpeechSeq2Seq.from_pretrained("benjaminogbonna/whisper-tiny-for-nigerian-common-languages-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
enhance-nigerian-language
#1 opened 8 months ago
by
IamViktoras