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whisper-base

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

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  1. quant_config.json +72 -46
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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- "Pow",
 
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  "Gather",
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- "Mul",
10
  "ReduceMean",
11
- "Conv",
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- "Erf",
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  "MatMul",
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- "Concat",
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- "Sqrt",
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  "Add",
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- "Constant",
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  "Sub",
 
 
 
 
 
 
 
 
 
 
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  "Softmax",
 
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  "Reshape",
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- "Unsqueeze",
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  "Transpose",
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- "Shape",
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- "Div"
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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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- "Pow",
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- "Expand",
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  "Concat",
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  "Less",
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- "Sqrt",
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- "Add",
36
- "Unsqueeze",
37
- "Transpose",
38
- "Shape",
39
- "Gather",
40
- "Mul",
41
  "ReduceMean",
42
- "Erf",
43
  "MatMul",
 
 
 
 
44
  "ConstantOfShape",
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- "Constant",
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- "Softmax",
47
  "Range",
48
- "Reshape",
49
- "Cast",
50
- "Div",
51
- "Where",
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  "Slice",
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- "Sub",
 
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  "Equal",
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- "Squeeze"
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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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  "Gather",
 
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  "Pow",
 
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  "Mul",
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- "ReduceMean",
71
- "Concat",
72
- "Slice",
73
  "MatMul",
74
- "Erf",
75
  "Sqrt",
76
- "Add",
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "Constant",
 
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  "Sub",
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- "Softmax",
80
- "Reshape",
81
  "Unsqueeze",
 
 
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  "Transpose",
 
 
 
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  "Shape",
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- "Div"
 
 
 
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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,
3
  "reduce_range": false,
4
  "per_model_config": {
5
+ "decoder_model": {
6
  "op_types": [
7
+ "Div",
8
+ "Concat",
9
  "Gather",
10
+ "Less",
11
  "ReduceMean",
 
 
12
  "MatMul",
13
+ "Erf",
 
14
  "Add",
15
+ "Expand",
16
  "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"
 
33
  ],
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+ "weight_type": "QInt8"
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  },
36
+ "decoder_model_merged": {
37
  "op_types": [
38
+ "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
  ],
66
  "weight_type": "QInt8"
67
  },
68
  "decoder_with_past_model": {
69
  "op_types": [
70
+ "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
+ ],
89
+ "weight_type": "QInt8"
90
+ },
91
+ "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
  ],
112
+ "weight_type": "QUInt8"
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  }
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  }
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  }