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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from joaoalvarenga/model-sid-voxforge-cetuc-2: direct link, hf CLI and curl.
- Browser
- Download file 100 Bytes
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https://huggingface.co/joaoalvarenga/model-sid-voxforge-cetuc-2/resolve/main/.gitattributes
- Command line
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hf download hf://joaoalvarenga/model-sid-voxforge-cetuc-2/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/joaoalvarenga/model-sid-voxforge-cetuc-2/resolve/main/.gitattributes
100 Bytes
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |
| *.msgpack filter=lfs diff=lfs merge=lfs -text | |