Instructions to use klanmiko/AceCombat5-RVC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Fairseq
How to use klanmiko/AceCombat5-RVC with Fairseq:
from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub models, cfg, task = load_model_ensemble_and_task_from_hf_hub( "klanmiko/AceCombat5-RVC" ) - Notebooks
- Google Colab
- Kaggle
Download added_IVF4330_Flat_nprobe_1_ace-combat-5-chopper_v2.index from klanmiko/AceCombat5-RVC: direct link, hf CLI and curl.
- Browser
- Download file 534 MB
-
https://huggingface.co/klanmiko/AceCombat5-RVC/resolve/main/added_IVF4330_Flat_nprobe_1_ace-combat-5-chopper_v2.index
- Command line
-
hf download hf://klanmiko/AceCombat5-RVC/added_IVF4330_Flat_nprobe_1_ace-combat-5-chopper_v2.index
-
curl -L -o added_IVF4330_Flat_nprobe_1_ace-combat-5-chopper_v2.index https://huggingface.co/klanmiko/AceCombat5-RVC/resolve/main/added_IVF4330_Flat_nprobe_1_ace-combat-5-chopper_v2.index
534 MB
- Xet hash:
- 833f68953997820105aafe0176a10ad7d292e2c8787b0fa674621dbef15ea0b1
- Size of remote file:
- 534 MB
- SHA256:
- f0b2979bb18cbb1f2671f5e14e7a849dd2d5827ad6d5ed0d87434e2f8751ef59
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