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:
- 1c54d86c11fbef745116cb8617238ff8291cfefd7df04facb161260b7ef38f30
- Size of remote file:
- 1.26 GB
- SHA256:
- 43bf9e00af922bc3212071e0ae743bbf7e04ea8831d727352e95687b313483a3
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