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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scrapegoat/Neural-Audio-Codec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 396 Bytes
8d7f03b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | 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 |