Text-to-Speech
Transformers
Safetensors
arktts
feature-extraction
audio
tts
voice-cloning
zero-shot
multilingual
custom_code
Instructions to use Audio8/Audio8-TTS-Preview-0.1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-TTS-Preview-0.1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Audio8/Audio8-TTS-Preview-0.1b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Audio8/Audio8-TTS-Preview-0.1b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,651 Bytes
141f907 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | {
"architectures": [
"ArkttsModel"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attention_in_multiplier": 1.0,
"attention_o_bias": false,
"attention_out_multiplier": 1.0,
"attention_qk_norm": false,
"attention_qkv_bias": false,
"auto_map": {
"AutoConfig": "configuration_arktts.ArkttsConfig",
"AutoModel": "modeling_arktts.ArkttsModel",
"AutoModelForCausalLM": "modeling_arktts.ArkttsModel"
},
"bos_token_id": 17,
"codebook_size": 4096,
"codec_filename": "codec.pth",
"codec_frame_size": 2048,
"codec_post_intermediate_size": 1216,
"codec_post_n_head": 16,
"codec_post_n_layer": 8,
"codec_post_n_local_heads": 8,
"codec_sample_rate": 44100,
"dim": 512,
"dropout": 0.0,
"dtype": "bfloat16",
"embedding_multiplier": 0.10888671875,
"eos_token_id": 228,
"expansion_factor": 1.5,
"fast_attention_o_bias": false,
"fast_attention_qk_norm": false,
"fast_attention_qkv_bias": false,
"fast_dim": 512,
"fast_head_dim": 64,
"fast_intermediate_size": 4864,
"fast_n_head": 8,
"fast_n_local_heads": 2,
"head_dim": 64,
"hidden_act": "silu",
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 768,
"key_multiplier": 1.0,
"lm_head_multiplier": 0.078125,
"mamba_chunk_size": 128,
"mamba_conv_bias": true,
"mamba_d_conv": 4,
"mamba_d_head": 32,
"mamba_d_ssm": 768,
"mamba_d_state": 64,
"mamba_expand": 2,
"mamba_n_groups": 1,
"mamba_n_heads": 24,
"mamba_norm_before_gate": false,
"mamba_proj_bias": false,
"mamba_rms_norm": false,
"mamba_use_mlp": true,
"max_position_embeddings": 8192,
"max_seq_len": 2048,
"mlp_bias": false,
"mlp_multipliers": [
1.0,
1.0
],
"model_type": "arktts",
"n_fast_layer": 4,
"n_head": 8,
"n_layer": 24,
"n_local_heads": 2,
"norm_eps": 1e-05,
"norm_fastlayer_input": false,
"num_attention_heads": 8,
"num_codebooks": 10,
"num_hidden_layers": 24,
"num_key_value_heads": 2,
"num_logits_to_keep": 1,
"pad_token_id": 0,
"projectors_bias": false,
"ras_temperature": 1.0,
"ras_top_p": 0.9,
"ras_window_size": 10,
"rms_norm_eps": 1e-05,
"rope_base": 100000000000.0,
"rope_theta": 100000000000.0,
"semantic_begin_id": 65537,
"semantic_end_id": 69632,
"slow_backbone": "falcon_h1",
"ssm_in_multiplier": 1.0,
"ssm_multipliers": [
1.0,
1.0,
1.0,
1.0,
1.0
],
"ssm_out_multiplier": 1.0,
"time_step_floor": 0.0001,
"time_step_max": 0.1,
"time_step_min": 0.001,
"time_step_rank": "auto",
"transformers_version": "4.57.5",
"use_cache": true,
"use_gradient_checkpointing": false,
"vocab_size": 69633
}
|