Instructions to use jadechoghari/VoiceRestore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/VoiceRestore with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/VoiceRestore", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model_v2.bin from jadechoghari/VoiceRestore: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/jadechoghari/VoiceRestore/resolve/main/pytorch_model_v2.bin
- Command line
-
hf download hf://jadechoghari/VoiceRestore/pytorch_model_v2.bin
-
curl -L -o pytorch_model_v2.bin https://huggingface.co/jadechoghari/VoiceRestore/resolve/main/pytorch_model_v2.bin
1.2 GB
- Xet hash:
- eb7055df643312c5338c19f339292fe0fc804ce08c09c905b7db1839bdc13df6
- Size of remote file:
- 1.2 GB
- SHA256:
- 4d8ebdc57b002abd36d71ea2d5d0955380b46f283b7953baaf3bcb09f67ad135
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