Instructions to use puterijessica/xcodec2-25TPS-24k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use puterijessica/xcodec2-25TPS-24k with Transformers:
# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("puterijessica/xcodec2-25TPS-24k", trust_remote_code=True) model = AutoModel.from_pretrained("puterijessica/xcodec2-25TPS-24k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import PretrainedConfig | |
| class BigCodecConfig(PretrainedConfig): | |
| model_type = "xcodec" | |
| def __init__( | |
| self, | |
| # 下面这些只是示例超参 | |
| semantic_hidden_size=1024, | |
| codec_encoder_hidden_size=1024, | |
| codec_decoder_hidden_size=1024, | |
| use_vocos=True, | |
| **kwargs | |
| ): | |
| super().__init__(**kwargs) | |
| self.semantic_hidden_size = semantic_hidden_size | |
| self.codec_encoder_hidden_size = codec_encoder_hidden_size | |
| self.codec_decoder_hidden_size = codec_decoder_hidden_size | |
| self.use_vocos = use_vocos | |