Text-to-Speech
Transformers
Safetensors
arktts
feature-extraction
audio
tts
voice-cloning
zero-shot
multilingual
custom_code
Instructions to use Audio8/Audio8-TTS-Preview-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audio8/Audio8-TTS-Preview-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Audio8/Audio8-TTS-Preview-0.6b", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Audio8/Audio8-TTS-Preview-0.6b", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,459 Bytes
6aa989f | 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 | {
"architectures": [
"ArkttsModel"
],
"attention_o_bias": false,
"attention_qk_norm": false,
"attention_qkv_bias": true,
"auto_map": {
"AutoConfig": "configuration_arktts.ArkttsConfig",
"AutoModel": "modeling_arktts.ArkttsModel",
"AutoModelForCausalLM": "modeling_arktts.ArkttsModel"
},
"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": 896,
"dropout": 0.0,
"dtype": "bfloat16",
"eos_token_id": 151645,
"fast_attention_o_bias": false,
"fast_attention_qk_norm": false,
"fast_attention_qkv_bias": false,
"fast_dim": 896,
"fast_head_dim": 64,
"fast_intermediate_size": 4864,
"fast_n_head": 14,
"fast_n_local_heads": 2,
"head_dim": 64,
"initializer_range": 0.02,
"intermediate_size": 4864,
"max_seq_len": 2048,
"model_type": "arktts",
"n_fast_layer": 4,
"n_head": 14,
"n_layer": 24,
"n_local_heads": 2,
"norm_eps": 1e-06,
"norm_fastlayer_input": true,
"num_codebooks": 10,
"pad_token_id": 151643,
"ras_temperature": 1.0,
"ras_top_p": 0.9,
"ras_window_size": 10,
"rope_base": 1000000,
"semantic_begin_id": 151678,
"semantic_end_id": 155773,
"tie_word_embeddings": true,
"transformers_version": "4.57.5",
"use_gradient_checkpointing": false,
"vocab_size": 155776
}
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