Automatic Speech Recognition
Transformers
Safetensors
wav2vec2-bert
speech
audio
ctc
w2v-bert-2.0
conformer
kenlm
pyctcdecode
multilingual
low-resource
african-languages
east-african-languages
edge
on-device
cpu
offline
Instructions to use Okpeyemi/afrivoices-asr-baobab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Okpeyemi/afrivoices-asr-baobab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Okpeyemi/afrivoices-asr-baobab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Okpeyemi/afrivoices-asr-baobab") model = AutoModelForCTC.from_pretrained("Okpeyemi/afrivoices-asr-baobab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K