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
Download sheetsage2/config.json from DeepBeepMeep/TTS: direct link, hf CLI and curl.
- Browser
- Download file 1.86 kB
-
https://huggingface.co/DeepBeepMeep/TTS/resolve/main/sheetsage2/config.json
- Command line
-
hf download hf://DeepBeepMeep/TTS/sheetsage2/config.json
-
curl -L -o config.json https://huggingface.co/DeepBeepMeep/TTS/resolve/main/sheetsage2/config.json
1.86 kB
| { | |
| "architectures": [ | |
| "SheetSage2Model" | |
| ], | |
| "backbone_config": { | |
| "architectures": [ | |
| "MERT2Model" | |
| ], | |
| "context_seconds": 360.0, | |
| "conv_depthwise_kernel_size": 31, | |
| "frame_rate": 25.0, | |
| "hidden_size": 1024, | |
| "hop_length": 240, | |
| "initializer_range": 0.02, | |
| "inputs_to_logits_ratio": 960, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "minimum_input_samples": 1025, | |
| "model_type": "mert2", | |
| "n_fft": 2048, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "num_mel_bins": 128, | |
| "rotary_embedding_base": 10000, | |
| "sampling_rate": 24000, | |
| "subsampling_channels": [ | |
| 128, | |
| 512, | |
| 1024 | |
| ], | |
| "subsampling_depths": [ | |
| 3, | |
| 4, | |
| 5 | |
| ], | |
| "subsampling_layer_norm_eps": 1e-06, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.2", | |
| "variant": "fs", | |
| "win_length": 2048 | |
| }, | |
| "base_model_name_or_path": "m-a-p/MERT-v2-FullSong", | |
| "base_model_revision": "d8ba1c745e733b3908ce6ad16ebeb17ac7600a42", | |
| "base_model_sha256": "e6dd2ab187d6dd62b6521cd7d8f932e237acf0c5757745a7232082e28391350d", | |
| "bos_token_id": 1, | |
| "decoder_dropout": 0.1, | |
| "decoder_layers": 6, | |
| "decoder_start_token_id": 1, | |
| "encoder_attn_implementation": "sdpa", | |
| "eos_token_id": 2, | |
| "hidden_size": 512, | |
| "input_audio_length": 300.0, | |
| "intermediate_size": 2048, | |
| "is_encoder_decoder": true, | |
| "lora_alpha": 128.0, | |
| "lora_rank": 64, | |
| "max_output_seq_len": 5120, | |
| "model_type": "sheetsage2", | |
| "num_attention_heads": 8, | |
| "pad_token_id": 0, | |
| "sampling_rate": 24000, | |
| "time_hz": 100, | |
| "tokenizer_fingerprint": "5ba3325af0344c7f", | |
| "tokenizer_schema_version": "v1", | |
| "transformers_version": "4.45.2", | |
| "use_cache": true, | |
| "vocab_size": 31678, | |
| "weights_format": "merged" | |
| } | |