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:
- 30c7ed72f5a79785007530e3b602ccd8f7f8592cad2be1c3ac2e8fa878ccefb2
- Size of remote file:
- 1.26 GB
- SHA256:
- 93bd4e6c8a53b950cfed1047926bf608da7ab28164aa7f24f9d1055c02b27279
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