Instructions to use ebonazza2910/model-1h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebonazza2910/model-1h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ebonazza2910/model-1h")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ebonazza2910/model-1h") model = AutoModelForCTC.from_pretrained("ebonazza2910/model-1h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
fef7a26 -
End of training
10df70d -
Training in progress, step 10
0bd58fd -
update model card README.md
bb9d00d -
End of training
bb28c12 -
initial commit
f4a2230