Instructions to use ghost613/VC-MJY_Woman_40s-cleaner-ctc-BLSTMAdapter-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghost613/VC-MJY_Woman_40s-cleaner-ctc-BLSTMAdapter-example with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ghost613/VC-MJY_Woman_40s-cleaner-ctc-BLSTMAdapter-example", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f66bd05e5db0f045c6b3f7d52a015487035f6dacb0445707540b3301d33cb9ca
- Size of remote file:
- 5.62 kB
- SHA256:
- bb95af3a76baa3d5fdcf53f6e980f5e1105a8dae2adca9720546f5ff0bbdea88
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