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
Commit History
4 days ago
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Point card and usage at sema-afro (renamed from sema-asr-v6_4-afro)
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6 days ago
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Card fix: 17 langs (drop spurious Ewe), add English CER 2.9, add yo/Yoruba routing warning + sema_lang() helper
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8 days ago
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Whisper-grade card restructure + widget sample clip
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Model card: pipeline usage, benchmark charts, afro-only
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Move weights to repo root (enables pipeline() + model widgets)
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initial commit
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