Instructions to use Kuray107/librispeech-5h-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kuray107/librispeech-5h-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kuray107/librispeech-5h-supervised")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Kuray107/librispeech-5h-supervised") model = AutoModelForCTC.from_pretrained("Kuray107/librispeech-5h-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
7744945 -
Training in progress, step 9000
98c3a24 -
Training in progress, step 8000
3fb1e9c -
Training in progress, step 7000
4f98796 -
Training in progress, step 6000
7a20979 -
Training in progress, step 5000
5a80f74 -
Training in progress, step 4000
5a00f87 -
Training in progress, step 3000
e1493f7 -
Training in progress, step 2000
2f6d174 -
Training in progress, step 1000
990f830
-
initial commit
8e2220a