Instructions to use joaoalvarenga/model-sid-voxforge-cv-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-cv-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-cv-cetuc-1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-1") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25e3485c92bda46225f157182af5f63b8b4b8ce3d12cb9ba13e77dacc84d0bbe
- Size of remote file:
- 1.26 GB
- SHA256:
- 695135389812331301b87b6f45ccac54601d8329839313a0c89cd6d69ad7cf31
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