Automatic Speech Recognition
Transformers
Safetensors
whisper
audio
african-languages
code-switching
twi
ghana
nigeria
Instructions to use travis-moore/sema-afro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use travis-moore/sema-afro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="travis-moore/sema-afro")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("travis-moore/sema-afro") model = AutoModelForSpeechSeq2Seq.from_pretrained("travis-moore/sema-afro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!