Instructions to use scrapegoat/Neural-Audio-Codec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scrapegoat/Neural-Audio-Codec with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scrapegoat/Neural-Audio-Codec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download RepCodec/repcodec/configs/repcodec_dim768.yaml from scrapegoat/Neural-Audio-Codec: direct link, hf CLI and curl.
- Browser
- Download file 396 Bytes
-
https://huggingface.co/scrapegoat/Neural-Audio-Codec/resolve/main/RepCodec/repcodec/configs/repcodec_dim768.yaml
- Command line
-
hf download hf://scrapegoat/Neural-Audio-Codec/RepCodec/repcodec/configs/repcodec_dim768.yaml
-
curl -L -o repcodec_dim768.yaml https://huggingface.co/scrapegoat/Neural-Audio-Codec/resolve/main/RepCodec/repcodec/configs/repcodec_dim768.yaml
396 Bytes
| input_channels: 768 | |
| output_channels: 768 | |
| encode_channels: 768 | |
| decode_channels: 768 | |
| code_dim: 768 | |
| codebook_num: 1 | |
| codebook_size: 1024 | |
| bias: true | |
| enc_ratios: [ 1, 1 ] | |
| dec_ratios: [ 1, 1 ] | |
| enc_strides: [ 1, 1 ] # no downsampling | |
| dec_strides: [ 1, 1 ] | |
| enc_kernel_size: 3 | |
| dec_kernel_size: 3 | |
| enc_block_dilations: [ 1, 1 ] | |
| enc_block_kernel_size: 3 | |
| dec_block_dilations: [ 1, 1 ] | |
| dec_block_kernel_size: 3 |