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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa36f389126890a164dbe2d363d9eedc4490f46b2db8a86227bca32d27e18c5c
- Size of remote file:
- 1.26 GB
- SHA256:
- aae7b0022e8155fad0765536ad020cfd3786f620e05f17b9991c168db328f14f
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