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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from joaoalvarenga/model-sid-voxforge-cv-cetuc-2: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/joaoalvarenga/model-sid-voxforge-cv-cetuc-2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://joaoalvarenga/model-sid-voxforge-cv-cetuc-2/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/joaoalvarenga/model-sid-voxforge-cv-cetuc-2/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 6ddf4d8de2e98bb0db97fc66a01d0a5dfaf65c4922c8633c50e78262dffc2ae9
- Size of remote file:
- 1.26 GB
- SHA256:
- 194e54d8bf57e4abb2369e04ee4cf4b53cc256b764a436094fff4dfb1db119bc
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