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: 1,855 Bytes
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"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"
}
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