Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
LAfricaMobile/Hausa
Generated from Trainer
Instructions to use Leonel-Maia/Wav2vec2-Hausa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonel-Maia/Wav2vec2-Hausa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Leonel-Maia/Wav2vec2-Hausa")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Leonel-Maia/Wav2vec2-Hausa") model = AutoModelForCTC.from_pretrained("Leonel-Maia/Wav2vec2-Hausa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ae75def4c2c94361aced8e2500c5030136a933bb8b5ac4a7c9d8b4eda14aa33
- Size of remote file:
- 5.78 kB
- SHA256:
- 1ae4d3fe9d5fc1682adb62945201b2ab5432d31b67a25a6465629c51e677a671
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