Instructions to use ghost613/VC-yu7361-BLSTM-cleaner-ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghost613/VC-yu7361-BLSTM-cleaner-ctc with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ghost613/VC-yu7361-BLSTM-cleaner-ctc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ghost613/VC-yu7361-BLSTM-cleaner-ctc: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/ghost613/VC-yu7361-BLSTM-cleaner-ctc/resolve/main/training_args.bin
- Command line
-
hf download hf://ghost613/VC-yu7361-BLSTM-cleaner-ctc/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghost613/VC-yu7361-BLSTM-cleaner-ctc/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 518b58fc6d56389b6e724a01c52a8e76ef43f5de73c878b71da11f8b490cf45e
- Size of remote file:
- 5.56 kB
- SHA256:
- 238e39c7ed049db13349dea7c398fa5d4ef0ac6f5b833861582aa29ec646eeaf
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