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whisper-tiny

Automatic Speech Recognition
Transformers.js
ONNX
whisper
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Upload quant_config.json

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  1. quant_config.json +77 -51
quant_config.json CHANGED
@@ -2,88 +2,114 @@
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  "per_channel": false,
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  "reduce_range": false,
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  "per_model_config": {
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- "encoder_model": {
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  "op_types": [
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- "Transpose",
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- "Add",
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- "Pow",
10
- "Reshape",
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  "Div",
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- "Sqrt",
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  "Gather",
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- "Shape",
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- "Conv",
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- "Mul",
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  "ReduceMean",
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- "Unsqueeze",
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- "Sub",
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- "Concat",
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- "Constant",
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  "MatMul",
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  "Erf",
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- "Softmax"
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- ],
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- "weight_type": "QUInt8"
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- },
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- "decoder_model": {
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- "op_types": [
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- "Reshape",
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- "Equal",
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- "MatMul",
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- "Constant",
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  "Add",
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- "Pow",
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- "ReduceMean",
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- "Less",
38
- "Cast",
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- "Concat",
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  "ConstantOfShape",
 
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  "Sqrt",
42
- "Gather",
43
- "Div",
44
- "Sub",
 
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  "Where",
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- "Transpose",
 
 
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  "Shape",
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- "Range",
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- "Squeeze",
50
  "Mul",
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- "Expand",
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- "Unsqueeze",
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- "Slice",
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- "Erf",
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- "Softmax"
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  ],
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  "weight_type": "QInt8"
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  },
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  "decoder_model_merged": {
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  "op_types": [
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- "If"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ],
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  "weight_type": "QInt8"
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  },
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  "decoder_with_past_model": {
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  "op_types": [
 
 
 
 
 
 
 
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  "Transpose",
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  "Add",
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- "Reshape",
70
- "Pow",
71
  "Sqrt",
72
- "Gather",
73
- "Div",
74
  "Shape",
 
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  "ReduceMean",
76
- "Mul",
77
- "Unsqueeze",
 
 
 
 
 
 
 
 
 
 
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  "Sub",
 
 
 
 
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  "MatMul",
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- "Constant",
81
- "Concat",
82
- "Slice",
 
 
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  "Erf",
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- "Softmax"
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  ],
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- "weight_type": "QInt8"
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  }
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  }
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  }
 
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  "per_channel": false,
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  "reduce_range": false,
4
  "per_model_config": {
5
+ "decoder_model": {
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  "op_types": [
 
 
 
 
7
  "Div",
8
+ "Concat",
9
  "Gather",
10
+ "Less",
 
 
11
  "ReduceMean",
 
 
 
 
12
  "MatMul",
13
  "Erf",
 
 
 
 
 
 
 
 
 
 
14
  "Add",
15
+ "Expand",
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+ "Sub",
 
 
 
17
  "ConstantOfShape",
18
+ "Range",
19
  "Sqrt",
20
+ "Slice",
21
+ "Squeeze",
22
+ "Cast",
23
+ "Equal",
24
  "Where",
25
+ "Constant",
26
+ "Pow",
27
+ "Softmax",
28
  "Shape",
29
+ "Reshape",
 
30
  "Mul",
31
+ "Transpose",
32
+ "Unsqueeze"
 
 
 
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  ],
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  "weight_type": "QInt8"
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  },
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  "decoder_model_merged": {
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  "op_types": [
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+ "Div",
39
+ "Gather",
40
+ "Concat",
41
+ "Less",
42
+ "ReduceMean",
43
+ "MatMul",
44
+ "Erf",
45
+ "Add",
46
+ "Expand",
47
+ "Sub",
48
+ "ConstantOfShape",
49
+ "Range",
50
+ "Sqrt",
51
+ "Slice",
52
+ "Squeeze",
53
+ "Cast",
54
+ "Equal",
55
+ "Where",
56
+ "If",
57
+ "Constant",
58
+ "Pow",
59
+ "Softmax",
60
+ "Shape",
61
+ "Reshape",
62
+ "Mul",
63
+ "Transpose",
64
+ "Unsqueeze"
65
  ],
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  "weight_type": "QInt8"
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  },
68
  "decoder_with_past_model": {
69
  "op_types": [
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+ "Div",
71
+ "Concat",
72
+ "Gather",
73
+ "Constant",
74
+ "Pow",
75
+ "Sub",
76
+ "Mul",
77
  "Transpose",
78
  "Add",
79
+ "MatMul",
80
+ "Softmax",
81
  "Sqrt",
82
+ "Slice",
 
83
  "Shape",
84
+ "Reshape",
85
  "ReduceMean",
86
+ "Erf",
87
+ "Unsqueeze"
88
+ ],
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+ "weight_type": "QInt8"
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+ },
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+ "encoder_model": {
92
+ "op_types": [
93
+ "Div",
94
+ "Gather",
95
+ "Concat",
96
+ "Constant",
97
+ "Pow",
98
  "Sub",
99
+ "Unsqueeze",
100
+ "Mul",
101
+ "Conv",
102
+ "Transpose",
103
  "MatMul",
104
+ "Softmax",
105
+ "Sqrt",
106
+ "Shape",
107
+ "Reshape",
108
+ "ReduceMean",
109
  "Erf",
110
+ "Add"
111
  ],
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+ "weight_type": "QUInt8"
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  }
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  }
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  }