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:
- f04a5d7ff7fa6280cb061110c10612c36984b6b374c29b9e79ac096d9d1835f1
- Size of remote file:
- 1.26 GB
- SHA256:
- bd611d0e633ff223e615c92eee806f019d9cee618157e1d3ce6ddfa212e24085
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