Instructions to use gitgato/mabama-v5-rvc-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gitgato/mabama-v5-rvc-v4 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gitgato/mabama-v5-rvc-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bd70b2b7a2b1b2ba889b46ade24ccf80afec9c06fa2f3f4228c919202c688c6
- Size of remote file:
- 2.36 GB
- SHA256:
- 573a50b3aca580d274dd9c317e03a2c097f81adf232fdfbdaa24e291bd06784b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.