Instructions to use joaoalvarenga/model-sid-voxforge-cetuc-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/model-sid-voxforge-cetuc-1 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-1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-1") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 212b7b3faef448d9366dc36019713e38e3eebe0342f93d9d3b43dc4815bbfb8a
- Size of remote file:
- 1.26 GB
- SHA256:
- 7a10b2b85ea22b75682b79a47875be69495f7b514755cb37e0c3c7158aa739aa
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