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wav2vec2-base-960h

Automatic Speech Recognition
Transformers.js
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wav2vec2
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Update quantize_config.json

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Files changed (1) hide show
  1. quantize_config.json +102 -28
quantize_config.json CHANGED
@@ -1,31 +1,105 @@
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  {
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- "per_channel": true,
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- "reduce_range": true,
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- "per_model_config": {
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- "model": {
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- "op_types": [
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- "Unsqueeze",
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- "Softmax",
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- "Add",
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- "Mul",
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- "Reshape",
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- "Pow",
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- "InstanceNormalization",
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- "Shape",
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- "Constant",
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- "MatMul",
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- "ReduceMean",
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- "Erf",
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- "Sqrt",
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- "Div",
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- "Gather",
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- "Concat",
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- "Slice",
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- "Sub",
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- "Conv",
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- "Transpose"
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- ],
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- "weight_type": "QUInt8"
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  }
 
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  {
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+ "fp16": {},
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+ "q8": {
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "Add",
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+ "Concat",
9
+ "Constant",
10
+ "Conv",
11
+ "Div",
12
+ "Erf",
13
+ "Gather",
14
+ "InstanceNormalization",
15
+ "MatMul",
16
+ "Mul",
17
+ "Pow",
18
+ "ReduceMean",
19
+ "Reshape",
20
+ "Shape",
21
+ "Slice",
22
+ "Softmax",
23
+ "Sqrt",
24
+ "Sub",
25
+ "Transpose",
26
+ "Unsqueeze"
27
+ ],
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+ "weight_type": "QUInt8"
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+ }
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+ },
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+ "per_channel": false,
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+ "reduce_range": false
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+ },
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+ "int8": {
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "Add",
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+ "Concat",
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+ "Constant",
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+ "Conv",
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+ "Div",
43
+ "Erf",
44
+ "Gather",
45
+ "InstanceNormalization",
46
+ "MatMul",
47
+ "Mul",
48
+ "Pow",
49
+ "ReduceMean",
50
+ "Reshape",
51
+ "Shape",
52
+ "Slice",
53
+ "Softmax",
54
+ "Sqrt",
55
+ "Sub",
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+ "Transpose",
57
+ "Unsqueeze"
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+ ],
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+ "weight_type": "QInt8"
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+ }
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+ },
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+ "per_channel": false,
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+ "reduce_range": false
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+ },
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+ "uint8": {
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+ "per_model_config": {
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+ "model": {
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+ "op_types": [
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+ "Add",
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+ "Concat",
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+ "Constant",
72
+ "Conv",
73
+ "Div",
74
+ "Erf",
75
+ "Gather",
76
+ "InstanceNormalization",
77
+ "MatMul",
78
+ "Mul",
79
+ "Pow",
80
+ "ReduceMean",
81
+ "Reshape",
82
+ "Shape",
83
+ "Slice",
84
+ "Softmax",
85
+ "Sqrt",
86
+ "Sub",
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+ "Transpose",
88
+ "Unsqueeze"
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+ ],
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+ "weight_type": "QUInt8"
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+ }
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+ },
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+ "per_channel": false,
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+ "reduce_range": false
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+ },
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+ "q4": {
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+ "block_size": 32,
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+ "is_symmetric": true,
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+ "accuracy_level": null
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+ },
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+ "bnb4": {
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+ "block_size": 64,
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+ "quant_type": 1
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  }
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  }