Hugging Face's logo

zeustek
/
jummai-hausa-tts

Text-to-Speech
Transformers
PyTorch
Safetensors
vits
text-to-audio
mms
Inference Endpoints
Model card Files Community
jummai-hausa-tts
File size: 1,641 Bytes 
eb85254
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "activation_dropout": 0.1,
  "architectures": [
    "VitsModel"
  ],
  "attention_dropout": 0.1,
  "depth_separable_channels": 2,
  "depth_separable_num_layers": 3,
  "duration_predictor_dropout": 0.5,
  "duration_predictor_filter_channels": 256,
  "duration_predictor_flow_bins": 10,
  "duration_predictor_kernel_size": 3,
  "duration_predictor_num_flows": 4,
  "duration_predictor_tail_bound": 5.0,
  "ffn_dim": 768,
  "ffn_kernel_size": 3,
  "flow_size": 192,
  "hidden_act": "relu",
  "hidden_dropout": 0.1,
  "hidden_size": 192,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.1,
  "leaky_relu_slope": 0.1,
  "model_type": "vits",
  "noise_scale": 0.667,
  "noise_scale_duration": 0.8,
  "num_attention_heads": 2,
  "num_hidden_layers": 6,
  "num_speakers": 1,
  "posterior_encoder_num_wavenet_layers": 16,
  "prior_encoder_num_flows": 4,
  "prior_encoder_num_wavenet_layers": 4,
  "resblock_dilation_sizes": [
    [
      1,
      3,
      5
    ],
    [
      1,
      3,
      5
    ],
    [
      1,
      3,
      5
    ]
  ],
  "resblock_kernel_sizes": [
    3,
    7,
    11
  ],
  "sampling_rate": 16000,
  "speaker_embedding_size": 0,
  "speaking_rate": 1.0,
  "spectrogram_bins": 513,
  "torch_dtype": "float32",
  "transformers_version": "4.33.0.dev0",
  "upsample_initial_channel": 512,
  "upsample_kernel_sizes": [
    16,
    16,
    4,
    4
  ],
  "upsample_rates": [
    8,
    8,
    2,
    2
  ],
  "use_bias": true,
  "use_stochastic_duration_prediction": true,
  "vocab_size": 34,
  "wavenet_dilation_rate": 1,
  "wavenet_dropout": 0.0,
  "wavenet_kernel_size": 5,
  "window_size": 4
}