Instructions to use joaoalvarenga/model-sid-voxforge-cetuc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/model-sid-voxforge-cetuc-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/model-sid-voxforge-cetuc-2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-2") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08d5724b66d68a898ee9811df31775630ba92f77f4a90501224587f3e9b2a4e3
- Size of remote file:
- 1.26 GB
- SHA256:
- ab5e7faeb08c4b543e705cf3a40f090fb7c354b07c4842a4183414dee7c9126a
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