Instructions to use bkh6722/bach-arb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkh6722/bach-arb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bkh6722/bach-arb")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bkh6722/bach-arb") model = AutoModelForCTC.from_pretrained("bkh6722/bach-arb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 1600
0ac6f32
-
Training in progress, step 1600
334a2c1 -
End of training
f7db603
-
Training in progress, step 1600
89a12fa -
Training in progress, step 1600
e65c54c -
Training in progress, step 1600
7f5462a -
Training in progress, step 1600
fa40b19
-
Training in progress, step 1600
b8a01f4 -
Training in progress, step 1600
47fbe47 -
Training in progress, step 1600
6b73710 -
Training in progress, step 1600
44f445b
-
Training in progress, step 1600
f2a8bf8 -
Training in progress, step 1600
7440505 -
Training in progress, step 1600
8533220
-
Training in progress, step 1600
f97f57d
-
Training in progress, step 1600
4695575