Instructions to use DeepBeepMeep/TTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use DeepBeepMeep/TTS with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,378 Bytes
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"return_dict": true,
"output_hidden_states": false,
"torchscript": false,
"dtype": "float32",
"tie_word_embeddings": true,
"is_encoder_decoder": false,
"is_decoder": false,
"add_cross_attention": false,
"architectures": [
"YuE2VAE"
],
"bos_token_id": null,
"pad_token_id": null,
"eos_token_id": null,
"decoder_start_token_id": null,
"transformers_version": "4.57.6",
"auto_map": {
"AutoConfig": "modeling_vae.YuE2VAEConfig",
"AutoModel": "modeling_vae.YuE2VAE"
},
"model_type": "yue2_vae",
"encoder_config": {
"c_mults": [
1,
2,
4,
8,
16,
32
],
"channels": 64,
"in_channels": 2,
"latent_dim": 128,
"strides": [
2,
2,
4,
4,
5,
6
],
"use_snake": true
},
"decoder_config": {
"c_mults": [
1,
2,
4,
8,
16,
32
],
"channels": 64,
"final_tanh": false,
"latent_dim": 64,
"out_channels": 2,
"snake_type": "vanilla",
"strides": [
2,
2,
4,
4,
5,
6
],
"use_filter": false,
"use_snake": true
},
"sample_rate": 48000,
"latent_dim": 64,
"downsampling_ratio": 1920,
"audio_channels": 2,
"release_variant": "standard",
"decode_core_frames": 1024,
"decode_halo_frames": 16,
"output_attentions": false
}
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