Automatic Speech Recognition
Transformers
Safetensors
Adioukrou
wav2vec2
adja
asr
speech-recognition
low-resource
xls-r
cs-thesis-may-2026
Instructions to use JosueG/wav2vec2-xlsr-adja-c4v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JosueG/wav2vec2-xlsr-adja-c4v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JosueG/wav2vec2-xlsr-adja-c4v2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("JosueG/wav2vec2-xlsr-adja-c4v2") model = AutoModelForCTC.from_pretrained("JosueG/wav2vec2-xlsr-adja-c4v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K