Instructions to use ak3ra/wav2vec2-base-runyankole with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ak3ra/wav2vec2-base-runyankole with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ak3ra/wav2vec2-base-runyankole")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ak3ra/wav2vec2-base-runyankole") model = AutoModelForCTC.from_pretrained("ak3ra/wav2vec2-base-runyankole", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 30000
49cd980 -
Training in progress, step 28000
92d5efd -
Training in progress, step 26000
aa01c9e -
Training in progress, step 24000
0d434b6 -
Training in progress, step 22000
89064ef -
Training in progress, step 20000
dddd33b -
Training in progress, step 18000
e606ee2
-
Training in progress, step 16000
db066b5 -
Training in progress, step 14000
8149553 -
Training in progress, step 12000
1cb8d7f -
Training in progress, step 10000
50d1d9a -
Training in progress, step 8000
c3612ac -
Training in progress, step 6000
d14d692 -
Training in progress, step 4000
275b1c0 -
Training in progress, step 2000
912ef31