Instructions to use joaoalvarenga/model-sid-voxforge-cv-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-cv-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-cv-cetuc-2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-2") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cf101ff3e1c2222943a0d49ea182dd35d7dad5a9861264f898a576ef8ffac45
- Size of remote file:
- 1.26 GB
- SHA256:
- b1247cc98cc7623c7d89a62b12fefffcc468a9005cd100cf1bba438bff2a43e2
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