Instructions to use joaoalvarenga/model-sid-voxforge-cetuc-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/model-sid-voxforge-cetuc-0 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-0")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-0") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cetuc-0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01fe046df681008112ca39c5721832c1b425dd90323d7ec51679c98bce79bf38
- Size of remote file:
- 1.26 GB
- SHA256:
- 71b1e8bbc38c4bf9c08a573111668bfa37b8aeac8da9365b909ceddf31555ffb
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