Hugging Face's logo

aahouzi
/
whisper-npu

Automatic Speech Recognition
ONNX
audio
Model card Files
xet
 Community
1
aahouzi commited on
Commit
2535a5b
·
verified ·
1 Parent(s): 74b68b8

Upload 8 files

Browse files
Files changed (8) hide show
  1. models/tokenizer/openvino_detokenizer.bin +3 -0
  2. models/tokenizer/openvino_detokenizer.xml +219 -0
  3. models/tokenizer/openvino_detokenizer_largev3.bin +3 -0
  4. models/tokenizer/openvino_detokenizer_largev3.xml +222 -0
  5. models/tokenizer/openvino_tokenizer.bin +3 -0
  6. models/tokenizer/openvino_tokenizer.xml +695 -0
  7. models/tokenizer/openvino_tokenizer_largev3.bin +3 -0
  8. models/tokenizer/openvino_tokenizer_largev3.xml +1002 -0
models/tokenizer/openvino_detokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f7394b331c75d608080784a7046d814a97f0459495f6c9cb75690033cff78fd
3
+ size 615513
models/tokenizer/openvino_detokenizer.xml ADDED
@@ -0,0 +1,219 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="detokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_114" type="Parameter" version="opset1">
5
+ <data shape="?,?" element_type="i64" />
6
+ <output>
7
+ <port id="0" precision="I64" names="Parameter_114">
8
+ <dim>-1</dim>
9
+ <dim>-1</dim>
10
+ </port>
11
+ </output>
12
+ </layer>
13
+ <layer id="1" name="Convert_130" type="Convert" version="opset1">
14
+ <data destination_type="i32" />
15
+ <input>
16
+ <port id="0" precision="I64">
17
+ <dim>-1</dim>
18
+ <dim>-1</dim>
19
+ </port>
20
+ </input>
21
+ <output>
22
+ <port id="1" precision="I32">
23
+ <dim>-1</dim>
24
+ <dim>-1</dim>
25
+ </port>
26
+ </output>
27
+ </layer>
28
+ <layer id="2" name="Constant_82" type="Const" version="opset1">
29
+ <data element_type="u8" shape="615464" offset="0" size="615464" />
30
+ <output>
31
+ <port id="0" precision="U8">
32
+ <dim>615464</dim>
33
+ </port>
34
+ </output>
35
+ </layer>
36
+ <layer id="3" name="StringTensorUnpack_83" type="StringTensorUnpack" version="extension">
37
+ <data mode="begins_ends" />
38
+ <input>
39
+ <port id="0" precision="U8">
40
+ <dim>615464</dim>
41
+ </port>
42
+ </input>
43
+ <output>
44
+ <port id="1" precision="I32">
45
+ <dim>-1</dim>
46
+ </port>
47
+ <port id="2" precision="I32">
48
+ <dim>-1</dim>
49
+ </port>
50
+ <port id="3" precision="U8">
51
+ <dim>-1</dim>
52
+ </port>
53
+ </output>
54
+ </layer>
55
+ <layer id="4" name="VocabDecoder_115" type="VocabDecoder" version="extension">
56
+ <data skip_tokens="" />
57
+ <input>
58
+ <port id="0" precision="I32">
59
+ <dim>-1</dim>
60
+ <dim>-1</dim>
61
+ </port>
62
+ <port id="1" precision="I32">
63
+ <dim>-1</dim>
64
+ </port>
65
+ <port id="2" precision="I32">
66
+ <dim>-1</dim>
67
+ </port>
68
+ <port id="3" precision="U8">
69
+ <dim>-1</dim>
70
+ </port>
71
+ </input>
72
+ <output>
73
+ <port id="4" precision="I32">
74
+ <dim>-1</dim>
75
+ </port>
76
+ <port id="5" precision="I32">
77
+ <dim>-1</dim>
78
+ </port>
79
+ <port id="6" precision="I32">
80
+ <dim>-1</dim>
81
+ </port>
82
+ <port id="7" precision="I32">
83
+ <dim>-1</dim>
84
+ </port>
85
+ <port id="8" precision="U8">
86
+ <dim>-1</dim>
87
+ </port>
88
+ </output>
89
+ </layer>
90
+ <layer id="5" name="CharsToBytes_116" type="CharsToBytes" version="extension">
91
+ <input>
92
+ <port id="0" precision="I32">
93
+ <dim>-1</dim>
94
+ </port>
95
+ <port id="1" precision="I32">
96
+ <dim>-1</dim>
97
+ </port>
98
+ <port id="2" precision="I32">
99
+ <dim>-1</dim>
100
+ </port>
101
+ <port id="3" precision="I32">
102
+ <dim>-1</dim>
103
+ </port>
104
+ <port id="4" precision="U8">
105
+ <dim>-1</dim>
106
+ </port>
107
+ </input>
108
+ <output>
109
+ <port id="5" precision="I32">
110
+ <dim>-1</dim>
111
+ </port>
112
+ <port id="6" precision="I32">
113
+ <dim>-1</dim>
114
+ </port>
115
+ <port id="7" precision="U8">
116
+ <dim>-1</dim>
117
+ </port>
118
+ </output>
119
+ </layer>
120
+ <layer id="6" name="Constant_118" type="Const" version="opset1">
121
+ <data element_type="u8" shape="47" offset="615464" size="47" />
122
+ <output>
123
+ <port id="0" precision="U8">
124
+ <dim>47</dim>
125
+ </port>
126
+ </output>
127
+ </layer>
128
+ <layer id="7" name="Constant_120" type="Const" version="opset1">
129
+ <data element_type="u8" shape="2" offset="615511" size="2" />
130
+ <output>
131
+ <port id="0" precision="U8">
132
+ <dim>2</dim>
133
+ </port>
134
+ </output>
135
+ </layer>
136
+ <layer id="8" name="RegexNormalization_121" type="RegexNormalization" version="extension">
137
+ <data global_replace="true" />
138
+ <input>
139
+ <port id="0" precision="I32">
140
+ <dim>-1</dim>
141
+ </port>
142
+ <port id="1" precision="I32">
143
+ <dim>-1</dim>
144
+ </port>
145
+ <port id="2" precision="U8">
146
+ <dim>-1</dim>
147
+ </port>
148
+ <port id="3" precision="U8">
149
+ <dim>47</dim>
150
+ </port>
151
+ <port id="4" precision="U8">
152
+ <dim>2</dim>
153
+ </port>
154
+ </input>
155
+ <output>
156
+ <port id="5" precision="I32">
157
+ <dim>-1</dim>
158
+ </port>
159
+ <port id="6" precision="I32">
160
+ <dim>-1</dim>
161
+ </port>
162
+ <port id="7" precision="U8">
163
+ <dim>-1</dim>
164
+ </port>
165
+ </output>
166
+ </layer>
167
+ <layer id="9" name="StringTensorPack_122" type="StringTensorPack" version="extension">
168
+ <data mode="begins_ends" />
169
+ <input>
170
+ <port id="0" precision="I32">
171
+ <dim>-1</dim>
172
+ </port>
173
+ <port id="1" precision="I32">
174
+ <dim>-1</dim>
175
+ </port>
176
+ <port id="2" precision="U8">
177
+ <dim>-1</dim>
178
+ </port>
179
+ </input>
180
+ <output>
181
+ <port id="3" precision="STRING" names="string_output">
182
+ <dim>-1</dim>
183
+ </port>
184
+ </output>
185
+ </layer>
186
+ <layer id="10" name="Result_123" type="Result" version="opset1">
187
+ <input>
188
+ <port id="0" precision="STRING">
189
+ <dim>-1</dim>
190
+ </port>
191
+ </input>
192
+ </layer>
193
+ </layers>
194
+ <edges>
195
+ <edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
196
+ <edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
197
+ <edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
198
+ <edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
199
+ <edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
200
+ <edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
201
+ <edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
202
+ <edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
203
+ <edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
204
+ <edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
205
+ <edge from-layer="4" from-port="8" to-layer="5" to-port="4" />
206
+ <edge from-layer="5" from-port="5" to-layer="8" to-port="0" />
207
+ <edge from-layer="5" from-port="6" to-layer="8" to-port="1" />
208
+ <edge from-layer="5" from-port="7" to-layer="8" to-port="2" />
209
+ <edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
210
+ <edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
211
+ <edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
212
+ <edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
213
+ <edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
214
+ <edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
215
+ </edges>
216
+ <rt_info>
217
+ <eos_token_id value="50257" />
218
+ </rt_info>
219
+ </net>
models/tokenizer/openvino_detokenizer_largev3.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42cb685ad4df76a23d7f022bb4f2858eea7c5216d894acefcebb4ef0b9750c96
3
+ size 615522
models/tokenizer/openvino_detokenizer_largev3.xml ADDED
@@ -0,0 +1,222 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="detokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_61114" type="Parameter" version="opset1">
5
+ <data shape="?,?" element_type="i64" />
6
+ <output>
7
+ <port id="0" precision="I64" names="Parameter_61114">
8
+ <dim>-1</dim>
9
+ <dim>-1</dim>
10
+ </port>
11
+ </output>
12
+ </layer>
13
+ <layer id="1" name="Convert_61130" type="Convert" version="opset1">
14
+ <data destination_type="i32" />
15
+ <input>
16
+ <port id="0" precision="I64">
17
+ <dim>-1</dim>
18
+ <dim>-1</dim>
19
+ </port>
20
+ </input>
21
+ <output>
22
+ <port id="1" precision="I32">
23
+ <dim>-1</dim>
24
+ <dim>-1</dim>
25
+ </port>
26
+ </output>
27
+ </layer>
28
+ <layer id="2" name="Constant_61003" type="Const" version="opset1">
29
+ <data element_type="u8" shape="615473" offset="0" size="615473" />
30
+ <output>
31
+ <port id="0" precision="U8">
32
+ <dim>615473</dim>
33
+ </port>
34
+ </output>
35
+ </layer>
36
+ <layer id="3" name="StringTensorUnpack_61004" type="StringTensorUnpack" version="extension">
37
+ <data mode="begins_ends" />
38
+ <input>
39
+ <port id="0" precision="U8">
40
+ <dim>615473</dim>
41
+ </port>
42
+ </input>
43
+ <output>
44
+ <port id="1" precision="I32">
45
+ <dim>-1</dim>
46
+ </port>
47
+ <port id="2" precision="I32">
48
+ <dim>-1</dim>
49
+ </port>
50
+ <port id="3" precision="U8">
51
+ <dim>-1</dim>
52
+ </port>
53
+ </output>
54
+ </layer>
55
+ <layer id="4" name="VocabDecoder_61115" type="VocabDecoder" version="extension">
56
+ <data skip_tokens="" />
57
+ <input>
58
+ <port id="0" precision="I32">
59
+ <dim>-1</dim>
60
+ <dim>-1</dim>
61
+ </port>
62
+ <port id="1" precision="I32">
63
+ <dim>-1</dim>
64
+ </port>
65
+ <port id="2" precision="I32">
66
+ <dim>-1</dim>
67
+ </port>
68
+ <port id="3" precision="U8">
69
+ <dim>-1</dim>
70
+ </port>
71
+ </input>
72
+ <output>
73
+ <port id="4" precision="I32">
74
+ <dim>-1</dim>
75
+ </port>
76
+ <port id="5" precision="I32">
77
+ <dim>-1</dim>
78
+ </port>
79
+ <port id="6" precision="I32">
80
+ <dim>-1</dim>
81
+ </port>
82
+ <port id="7" precision="I32">
83
+ <dim>-1</dim>
84
+ </port>
85
+ <port id="8" precision="U8">
86
+ <dim>-1</dim>
87
+ </port>
88
+ </output>
89
+ </layer>
90
+ <layer id="5" name="CharsToBytes_61116" type="CharsToBytes" version="extension">
91
+ <input>
92
+ <port id="0" precision="I32">
93
+ <dim>-1</dim>
94
+ </port>
95
+ <port id="1" precision="I32">
96
+ <dim>-1</dim>
97
+ </port>
98
+ <port id="2" precision="I32">
99
+ <dim>-1</dim>
100
+ </port>
101
+ <port id="3" precision="I32">
102
+ <dim>-1</dim>
103
+ </port>
104
+ <port id="4" precision="U8">
105
+ <dim>-1</dim>
106
+ </port>
107
+ </input>
108
+ <output>
109
+ <port id="5" precision="I32">
110
+ <dim>-1</dim>
111
+ </port>
112
+ <port id="6" precision="I32">
113
+ <dim>-1</dim>
114
+ </port>
115
+ <port id="7" precision="U8">
116
+ <dim>-1</dim>
117
+ </port>
118
+ </output>
119
+ </layer>
120
+ <layer id="6" name="Constant_61118" type="Const" version="opset1">
121
+ <data element_type="u8" shape="47" offset="615473" size="47" />
122
+ <output>
123
+ <port id="0" precision="U8">
124
+ <dim>47</dim>
125
+ </port>
126
+ </output>
127
+ </layer>
128
+ <layer id="7" name="Constant_61120" type="Const" version="opset1">
129
+ <data element_type="u8" shape="2" offset="615520" size="2" />
130
+ <output>
131
+ <port id="0" precision="U8">
132
+ <dim>2</dim>
133
+ </port>
134
+ </output>
135
+ </layer>
136
+ <layer id="8" name="RegexNormalization_61121" type="RegexNormalization" version="extension">
137
+ <data global_replace="true" />
138
+ <input>
139
+ <port id="0" precision="I32">
140
+ <dim>-1</dim>
141
+ </port>
142
+ <port id="1" precision="I32">
143
+ <dim>-1</dim>
144
+ </port>
145
+ <port id="2" precision="U8">
146
+ <dim>-1</dim>
147
+ </port>
148
+ <port id="3" precision="U8">
149
+ <dim>47</dim>
150
+ </port>
151
+ <port id="4" precision="U8">
152
+ <dim>2</dim>
153
+ </port>
154
+ </input>
155
+ <output>
156
+ <port id="5" precision="I32">
157
+ <dim>-1</dim>
158
+ </port>
159
+ <port id="6" precision="I32">
160
+ <dim>-1</dim>
161
+ </port>
162
+ <port id="7" precision="U8">
163
+ <dim>-1</dim>
164
+ </port>
165
+ </output>
166
+ </layer>
167
+ <layer id="9" name="StringTensorPack_61122" type="StringTensorPack" version="extension">
168
+ <data mode="begins_ends" />
169
+ <input>
170
+ <port id="0" precision="I32">
171
+ <dim>-1</dim>
172
+ </port>
173
+ <port id="1" precision="I32">
174
+ <dim>-1</dim>
175
+ </port>
176
+ <port id="2" precision="U8">
177
+ <dim>-1</dim>
178
+ </port>
179
+ </input>
180
+ <output>
181
+ <port id="3" precision="STRING" names="string_output">
182
+ <dim>-1</dim>
183
+ </port>
184
+ </output>
185
+ </layer>
186
+ <layer id="10" name="Result_61123" type="Result" version="opset1">
187
+ <input>
188
+ <port id="0" precision="STRING">
189
+ <dim>-1</dim>
190
+ </port>
191
+ </input>
192
+ </layer>
193
+ </layers>
194
+ <edges>
195
+ <edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
196
+ <edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
197
+ <edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
198
+ <edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
199
+ <edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
200
+ <edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
201
+ <edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
202
+ <edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
203
+ <edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
204
+ <edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
205
+ <edge from-layer="4" from-port="8" to-layer="5" to-port="4" />
206
+ <edge from-layer="5" from-port="5" to-layer="8" to-port="0" />
207
+ <edge from-layer="5" from-port="6" to-layer="8" to-port="1" />
208
+ <edge from-layer="5" from-port="7" to-layer="8" to-port="2" />
209
+ <edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
210
+ <edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
211
+ <edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
212
+ <edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
213
+ <edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
214
+ <edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
215
+ </edges>
216
+ <rt_info>
217
+ <bos_token_id value="50257" />
218
+ <eos_token_id value="50257" />
219
+ <original_tokenizer_class value="&lt;class 'transformers.models.whisper.tokenization_whisper_fast.WhisperTokenizerFast'>" />
220
+ <pad_token_id value="50257" />
221
+ </rt_info>
222
+ </net>
models/tokenizer/openvino_tokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c2309f105e1a0a8ccb87326dc9479f114b6039973e7e8968fc960210f45ec36
3
+ size 1259439
models/tokenizer/openvino_tokenizer.xml ADDED
@@ -0,0 +1,695 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="tokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_1" type="Parameter" version="opset1">
5
+ <data shape="?" element_type="string" />
6
+ <output>
7
+ <port id="0" precision="STRING" names="Parameter_1">
8
+ <dim>-1</dim>
9
+ </port>
10
+ </output>
11
+ </layer>
12
+ <layer id="1" name="Constant_92" type="Const" version="opset1">
13
+ <data element_type="i32" shape="" offset="0" size="4" />
14
+ <output>
15
+ <port id="0" precision="I32" />
16
+ </output>
17
+ </layer>
18
+ <layer id="2" name="Constant_93" type="Const" version="opset1">
19
+ <data element_type="i32" shape="" offset="4" size="4" />
20
+ <output>
21
+ <port id="0" precision="I32" />
22
+ </output>
23
+ </layer>
24
+ <layer id="3" name="Constant_94" type="Const" version="opset1">
25
+ <data element_type="i32" shape="1" offset="8" size="4" />
26
+ <output>
27
+ <port id="0" precision="I32">
28
+ <dim>1</dim>
29
+ </port>
30
+ </output>
31
+ </layer>
32
+ <layer id="4" name="Constant_95" type="Const" version="opset1">
33
+ <data element_type="i32" shape="" offset="0" size="4" />
34
+ <output>
35
+ <port id="0" precision="I32" />
36
+ </output>
37
+ </layer>
38
+ <layer id="5" name="Constant_96" type="Const" version="opset1">
39
+ <data element_type="i32" shape="" offset="4" size="4" />
40
+ <output>
41
+ <port id="0" precision="I32" />
42
+ </output>
43
+ </layer>
44
+ <layer id="6" name="Constant_97" type="Const" version="opset1">
45
+ <data element_type="i32" shape="1" offset="12" size="4" />
46
+ <output>
47
+ <port id="0" precision="I32">
48
+ <dim>1</dim>
49
+ </port>
50
+ </output>
51
+ </layer>
52
+ <layer id="7" name="Constant_7" type="Const" version="opset1">
53
+ <data element_type="i32" shape="" offset="0" size="4" />
54
+ <output>
55
+ <port id="0" precision="I32" />
56
+ </output>
57
+ </layer>
58
+ <layer id="8" name="StringTensorUnpack_2" type="StringTensorUnpack" version="extension">
59
+ <data mode="begins_ends" />
60
+ <input>
61
+ <port id="0" precision="STRING">
62
+ <dim>-1</dim>
63
+ </port>
64
+ </input>
65
+ <output>
66
+ <port id="1" precision="I32">
67
+ <dim>-1</dim>
68
+ </port>
69
+ <port id="2" precision="I32">
70
+ <dim>-1</dim>
71
+ </port>
72
+ <port id="3" precision="U8">
73
+ <dim>-1</dim>
74
+ </port>
75
+ </output>
76
+ </layer>
77
+ <layer id="9" name="ShapeOf_3" type="ShapeOf" version="opset3">
78
+ <data output_type="i64" />
79
+ <input>
80
+ <port id="0" precision="I32">
81
+ <dim>-1</dim>
82
+ </port>
83
+ </input>
84
+ <output>
85
+ <port id="1" precision="I64">
86
+ <dim>1</dim>
87
+ </port>
88
+ </output>
89
+ </layer>
90
+ <layer id="10" name="Constant_4" type="Const" version="opset1">
91
+ <data element_type="i32" shape="" offset="0" size="4" />
92
+ <output>
93
+ <port id="0" precision="I32" />
94
+ </output>
95
+ </layer>
96
+ <layer id="11" name="Constant_5" type="Const" version="opset1">
97
+ <data element_type="i32" shape="" offset="0" size="4" />
98
+ <output>
99
+ <port id="0" precision="I32" />
100
+ </output>
101
+ </layer>
102
+ <layer id="12" name="Gather_6" type="Gather" version="opset8">
103
+ <data batch_dims="0" />
104
+ <input>
105
+ <port id="0" precision="I64">
106
+ <dim>1</dim>
107
+ </port>
108
+ <port id="1" precision="I32" />
109
+ <port id="2" precision="I32" />
110
+ </input>
111
+ <output>
112
+ <port id="3" precision="I64" />
113
+ </output>
114
+ </layer>
115
+ <layer id="13" name="Constant_8" type="Const" version="opset1">
116
+ <data element_type="i32" shape="" offset="4" size="4" />
117
+ <output>
118
+ <port id="0" precision="I32" />
119
+ </output>
120
+ </layer>
121
+ <layer id="14" name="Range_9" type="Range" version="opset4">
122
+ <data output_type="i32" />
123
+ <input>
124
+ <port id="0" precision="I32" />
125
+ <port id="1" precision="I64" />
126
+ <port id="2" precision="I32" />
127
+ </input>
128
+ <output>
129
+ <port id="3" precision="I32">
130
+ <dim>-1</dim>
131
+ </port>
132
+ </output>
133
+ </layer>
134
+ <layer id="15" name="Constant_11" type="Const" version="opset1">
135
+ <data element_type="i32" shape="" offset="4" size="4" />
136
+ <output>
137
+ <port id="0" precision="I32" />
138
+ </output>
139
+ </layer>
140
+ <layer id="16" name="Constant_12" type="Const" version="opset1">
141
+ <data element_type="i64" shape="" offset="16" size="8" />
142
+ <output>
143
+ <port id="0" precision="I64" />
144
+ </output>
145
+ </layer>
146
+ <layer id="17" name="Add_13" type="Add" version="opset1">
147
+ <data auto_broadcast="numpy" />
148
+ <input>
149
+ <port id="0" precision="I64" />
150
+ <port id="1" precision="I64" />
151
+ </input>
152
+ <output>
153
+ <port id="2" precision="I64" />
154
+ </output>
155
+ </layer>
156
+ <layer id="18" name="Constant_14" type="Const" version="opset1">
157
+ <data element_type="i32" shape="" offset="4" size="4" />
158
+ <output>
159
+ <port id="0" precision="I32" />
160
+ </output>
161
+ </layer>
162
+ <layer id="19" name="Range_15" type="Range" version="opset4">
163
+ <data output_type="i32" />
164
+ <input>
165
+ <port id="0" precision="I32" />
166
+ <port id="1" precision="I64" />
167
+ <port id="2" precision="I32" />
168
+ </input>
169
+ <output>
170
+ <port id="3" precision="I32">
171
+ <dim>-1</dim>
172
+ </port>
173
+ </output>
174
+ </layer>
175
+ <layer id="20" name="Constant_78" type="Const" version="opset1">
176
+ <data element_type="u8" shape="64" offset="24" size="64" />
177
+ <output>
178
+ <port id="0" precision="U8">
179
+ <dim>64</dim>
180
+ </port>
181
+ </output>
182
+ </layer>
183
+ <layer id="21" name="RegexSplit_79" type="RegexSplit" version="extension">
184
+ <data behaviour="isolate" invert="false" max_splits="-1" />
185
+ <input>
186
+ <port id="0" precision="I32">
187
+ <dim>-1</dim>
188
+ </port>
189
+ <port id="1" precision="I32">
190
+ <dim>-1</dim>
191
+ </port>
192
+ <port id="2" precision="I32">
193
+ <dim>-1</dim>
194
+ </port>
195
+ <port id="3" precision="I32">
196
+ <dim>-1</dim>
197
+ </port>
198
+ <port id="4" precision="U8">
199
+ <dim>-1</dim>
200
+ </port>
201
+ <port id="5" precision="U8">
202
+ <dim>64</dim>
203
+ </port>
204
+ </input>
205
+ <output>
206
+ <port id="6" precision="I32">
207
+ <dim>-1</dim>
208
+ </port>
209
+ <port id="7" precision="I32">
210
+ <dim>-1</dim>
211
+ </port>
212
+ <port id="8" precision="I32">
213
+ <dim>-1</dim>
214
+ </port>
215
+ <port id="9" precision="I32">
216
+ <dim>-1</dim>
217
+ </port>
218
+ <port id="10" precision="U8">
219
+ <dim>-1</dim>
220
+ </port>
221
+ </output>
222
+ </layer>
223
+ <layer id="22" name="BytesToChars_80" type="BytesToChars" version="extension">
224
+ <input>
225
+ <port id="0" precision="I32">
226
+ <dim>-1</dim>
227
+ </port>
228
+ <port id="1" precision="I32">
229
+ <dim>-1</dim>
230
+ </port>
231
+ <port id="2" precision="I32">
232
+ <dim>-1</dim>
233
+ </port>
234
+ <port id="3" precision="I32">
235
+ <dim>-1</dim>
236
+ </port>
237
+ <port id="4" precision="U8">
238
+ <dim>-1</dim>
239
+ </port>
240
+ </input>
241
+ <output>
242
+ <port id="5" precision="I32">
243
+ <dim>-1</dim>
244
+ </port>
245
+ <port id="6" precision="I32">
246
+ <dim>-1</dim>
247
+ </port>
248
+ <port id="7" precision="I32">
249
+ <dim>-1</dim>
250
+ </port>
251
+ <port id="8" precision="I32">
252
+ <dim>-1</dim>
253
+ </port>
254
+ <port id="9" precision="U8">
255
+ <dim>-1</dim>
256
+ </port>
257
+ </output>
258
+ </layer>
259
+ <layer id="23" name="Constant_82" type="Const" version="opset1">
260
+ <data element_type="u8" shape="615464" offset="88" size="615464" />
261
+ <output>
262
+ <port id="0" precision="U8">
263
+ <dim>615464</dim>
264
+ </port>
265
+ </output>
266
+ </layer>
267
+ <layer id="24" name="StringTensorUnpack_83" type="StringTensorUnpack" version="extension">
268
+ <data mode="begins_ends" />
269
+ <input>
270
+ <port id="0" precision="U8">
271
+ <dim>615464</dim>
272
+ </port>
273
+ </input>
274
+ <output>
275
+ <port id="1" precision="I32">
276
+ <dim>-1</dim>
277
+ </port>
278
+ <port id="2" precision="I32">
279
+ <dim>-1</dim>
280
+ </port>
281
+ <port id="3" precision="U8">
282
+ <dim>-1</dim>
283
+ </port>
284
+ </output>
285
+ </layer>
286
+ <layer id="25" name="Constant_85" type="Const" version="opset1">
287
+ <data element_type="u8" shape="643863" offset="615552" size="643863" />
288
+ <output>
289
+ <port id="0" precision="U8">
290
+ <dim>643863</dim>
291
+ </port>
292
+ </output>
293
+ </layer>
294
+ <layer id="26" name="StringTensorUnpack_86" type="StringTensorUnpack" version="extension">
295
+ <data mode="begins_ends" />
296
+ <input>
297
+ <port id="0" precision="U8">
298
+ <dim>643863</dim>
299
+ </port>
300
+ </input>
301
+ <output>
302
+ <port id="1" precision="I32">
303
+ <dim>-1</dim>
304
+ </port>
305
+ <port id="2" precision="I32">
306
+ <dim>-1</dim>
307
+ </port>
308
+ <port id="3" precision="U8">
309
+ <dim>-1</dim>
310
+ </port>
311
+ </output>
312
+ </layer>
313
+ <layer id="27" name="BPETokenizer_87" type="BPETokenizer" version="extension">
314
+ <data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" />
315
+ <input>
316
+ <port id="0" precision="I32">
317
+ <dim>-1</dim>
318
+ </port>
319
+ <port id="1" precision="I32">
320
+ <dim>-1</dim>
321
+ </port>
322
+ <port id="2" precision="I32">
323
+ <dim>-1</dim>
324
+ </port>
325
+ <port id="3" precision="I32">
326
+ <dim>-1</dim>
327
+ </port>
328
+ <port id="4" precision="U8">
329
+ <dim>-1</dim>
330
+ </port>
331
+ <port id="5" precision="I32">
332
+ <dim>-1</dim>
333
+ </port>
334
+ <port id="6" precision="I32">
335
+ <dim>-1</dim>
336
+ </port>
337
+ <port id="7" precision="U8">
338
+ <dim>-1</dim>
339
+ </port>
340
+ <port id="8" precision="I32">
341
+ <dim>-1</dim>
342
+ </port>
343
+ <port id="9" precision="I32">
344
+ <dim>-1</dim>
345
+ </port>
346
+ <port id="10" precision="U8">
347
+ <dim>-1</dim>
348
+ </port>
349
+ </input>
350
+ <output>
351
+ <port id="11" precision="I32">
352
+ <dim>-1</dim>
353
+ </port>
354
+ <port id="12" precision="I32">
355
+ <dim>-1</dim>
356
+ </port>
357
+ <port id="13" precision="I32">
358
+ <dim>-1</dim>
359
+ </port>
360
+ </output>
361
+ </layer>
362
+ <layer id="28" name="Subtract_88" type="Subtract" version="opset1">
363
+ <data auto_broadcast="numpy" />
364
+ <input>
365
+ <port id="0" precision="I32">
366
+ <dim>-1</dim>
367
+ </port>
368
+ <port id="1" precision="I32">
369
+ <dim>-1</dim>
370
+ </port>
371
+ </input>
372
+ <output>
373
+ <port id="2" precision="I32">
374
+ <dim>-1</dim>
375
+ </port>
376
+ </output>
377
+ </layer>
378
+ <layer id="29" name="Constant_89" type="Const" version="opset1">
379
+ <data element_type="i32" shape="" offset="1259415" size="4" />
380
+ <output>
381
+ <port id="0" precision="I32" />
382
+ </output>
383
+ </layer>
384
+ <layer id="30" name="Minimum_90" type="Minimum" version="opset1">
385
+ <data auto_broadcast="numpy" />
386
+ <input>
387
+ <port id="0" precision="I32">
388
+ <dim>-1</dim>
389
+ </port>
390
+ <port id="1" precision="I32" />
391
+ </input>
392
+ <output>
393
+ <port id="2" precision="I32">
394
+ <dim>-1</dim>
395
+ </port>
396
+ </output>
397
+ </layer>
398
+ <layer id="31" name="Add_91" type="Add" version="opset1">
399
+ <data auto_broadcast="numpy" />
400
+ <input>
401
+ <port id="0" precision="I32">
402
+ <dim>-1</dim>
403
+ </port>
404
+ <port id="1" precision="I32">
405
+ <dim>-1</dim>
406
+ </port>
407
+ </input>
408
+ <output>
409
+ <port id="2" precision="I32">
410
+ <dim>-1</dim>
411
+ </port>
412
+ </output>
413
+ </layer>
414
+ <layer id="32" name="Constant_98" type="Const" version="opset1">
415
+ <data element_type="i32" shape="" offset="0" size="4" />
416
+ <output>
417
+ <port id="0" precision="I32" />
418
+ </output>
419
+ </layer>
420
+ <layer id="33" name="Constant_99" type="Const" version="opset1">
421
+ <data element_type="i32" shape="" offset="4" size="4" />
422
+ <output>
423
+ <port id="0" precision="I32" />
424
+ </output>
425
+ </layer>
426
+ <layer id="34" name="Constant_100" type="Const" version="opset1">
427
+ <data element_type="i32" shape="1" offset="1259419" size="4" />
428
+ <output>
429
+ <port id="0" precision="I32">
430
+ <dim>1</dim>
431
+ </port>
432
+ </output>
433
+ </layer>
434
+ <layer id="35" name="Constant_101" type="Const" version="opset1">
435
+ <data element_type="i32" shape="4" offset="1259423" size="16" />
436
+ <output>
437
+ <port id="0" precision="I32">
438
+ <dim>4</dim>
439
+ </port>
440
+ </output>
441
+ </layer>
442
+ <layer id="36" name="CombineSegments_102" type="CombineSegments" version="extension">
443
+ <input>
444
+ <port id="0" precision="I32" />
445
+ <port id="1" precision="I32" />
446
+ <port id="2" precision="I32">
447
+ <dim>1</dim>
448
+ </port>
449
+ <port id="3" precision="I32" />
450
+ <port id="4" precision="I32" />
451
+ <port id="5" precision="I32">
452
+ <dim>1</dim>
453
+ </port>
454
+ <port id="6" precision="I32">
455
+ <dim>-1</dim>
456
+ </port>
457
+ <port id="7" precision="I32">
458
+ <dim>-1</dim>
459
+ </port>
460
+ <port id="8" precision="I32">
461
+ <dim>-1</dim>
462
+ </port>
463
+ <port id="9" precision="I32" />
464
+ <port id="10" precision="I32" />
465
+ <port id="11" precision="I32">
466
+ <dim>1</dim>
467
+ </port>
468
+ <port id="12" precision="I32">
469
+ <dim>4</dim>
470
+ </port>
471
+ </input>
472
+ <output>
473
+ <port id="13" precision="I32">
474
+ <dim>-1</dim>
475
+ </port>
476
+ <port id="14" precision="I32">
477
+ <dim>-1</dim>
478
+ </port>
479
+ <port id="15" precision="I32">
480
+ <dim>-1</dim>
481
+ </port>
482
+ <port id="16" precision="I32">
483
+ <dim>-1</dim>
484
+ </port>
485
+ <port id="17" precision="I32">
486
+ <dim>-1</dim>
487
+ </port>
488
+ <port id="18" precision="I32">
489
+ <dim>-1</dim>
490
+ </port>
491
+ </output>
492
+ </layer>
493
+ <layer id="37" name="Subtract_103" type="Subtract" version="opset1">
494
+ <data auto_broadcast="numpy" />
495
+ <input>
496
+ <port id="0" precision="I32">
497
+ <dim>-1</dim>
498
+ </port>
499
+ <port id="1" precision="I32">
500
+ <dim>-1</dim>
501
+ </port>
502
+ </input>
503
+ <output>
504
+ <port id="2" precision="I32">
505
+ <dim>-1</dim>
506
+ </port>
507
+ </output>
508
+ </layer>
509
+ <layer id="38" name="Constant_104" type="Const" version="opset1">
510
+ <data element_type="i32" shape="" offset="0" size="4" />
511
+ <output>
512
+ <port id="0" precision="I32" />
513
+ </output>
514
+ </layer>
515
+ <layer id="39" name="ReduceMax_105" type="ReduceMax" version="opset1">
516
+ <data keep_dims="false" />
517
+ <input>
518
+ <port id="0" precision="I32">
519
+ <dim>-1</dim>
520
+ </port>
521
+ <port id="1" precision="I32" />
522
+ </input>
523
+ <output>
524
+ <port id="2" precision="I32" />
525
+ </output>
526
+ </layer>
527
+ <layer id="40" name="Constant_106" type="Const" version="opset1">
528
+ <data element_type="i32" shape="" offset="1259419" size="4" />
529
+ <output>
530
+ <port id="0" precision="I32" />
531
+ </output>
532
+ </layer>
533
+ <layer id="41" name="RaggedToDense_107" type="RaggedToDense" version="extension">
534
+ <input>
535
+ <port id="0" precision="I32">
536
+ <dim>-1</dim>
537
+ </port>
538
+ <port id="1" precision="I32">
539
+ <dim>-1</dim>
540
+ </port>
541
+ <port id="2" precision="I32">
542
+ <dim>-1</dim>
543
+ </port>
544
+ <port id="3" precision="I32" />
545
+ <port id="4" precision="I32" />
546
+ </input>
547
+ <output>
548
+ <port id="5" precision="I32">
549
+ <dim>-1</dim>
550
+ <dim>-1</dim>
551
+ </port>
552
+ <port id="6" precision="BOOL">
553
+ <dim>-1</dim>
554
+ <dim>-1</dim>
555
+ </port>
556
+ </output>
557
+ </layer>
558
+ <layer id="42" name="Convert_108" type="Convert" version="opset1">
559
+ <data destination_type="i32" />
560
+ <input>
561
+ <port id="0" precision="BOOL">
562
+ <dim>-1</dim>
563
+ <dim>-1</dim>
564
+ </port>
565
+ </input>
566
+ <output>
567
+ <port id="1" precision="I32">
568
+ <dim>-1</dim>
569
+ <dim>-1</dim>
570
+ </port>
571
+ </output>
572
+ </layer>
573
+ <layer id="43" name="Convert_108" type="Convert" version="opset1">
574
+ <data destination_type="i64" />
575
+ <input>
576
+ <port id="0" precision="I32">
577
+ <dim>-1</dim>
578
+ <dim>-1</dim>
579
+ </port>
580
+ </input>
581
+ <output>
582
+ <port id="1" precision="I64" names="attention_mask">
583
+ <dim>-1</dim>
584
+ <dim>-1</dim>
585
+ </port>
586
+ </output>
587
+ </layer>
588
+ <layer id="45" name="RaggedToDense_107.0" type="Convert" version="opset1">
589
+ <data destination_type="i64" />
590
+ <input>
591
+ <port id="0" precision="I32">
592
+ <dim>-1</dim>
593
+ <dim>-1</dim>
594
+ </port>
595
+ </input>
596
+ <output>
597
+ <port id="1" precision="I64" names="input_ids">
598
+ <dim>-1</dim>
599
+ <dim>-1</dim>
600
+ </port>
601
+ </output>
602
+ </layer>
603
+ <layer id="46" name="Result_111" type="Result" version="opset1">
604
+ <input>
605
+ <port id="0" precision="I64">
606
+ <dim>-1</dim>
607
+ <dim>-1</dim>
608
+ </port>
609
+ </input>
610
+ </layer>
611
+ <layer id="44" name="Result_113" type="Result" version="opset1">
612
+ <input>
613
+ <port id="0" precision="I64">
614
+ <dim>-1</dim>
615
+ <dim>-1</dim>
616
+ </port>
617
+ </input>
618
+ </layer>
619
+ </layers>
620
+ <edges>
621
+ <edge from-layer="0" from-port="0" to-layer="8" to-port="0" />
622
+ <edge from-layer="1" from-port="0" to-layer="36" to-port="0" />
623
+ <edge from-layer="2" from-port="0" to-layer="36" to-port="1" />
624
+ <edge from-layer="3" from-port="0" to-layer="36" to-port="2" />
625
+ <edge from-layer="4" from-port="0" to-layer="36" to-port="3" />
626
+ <edge from-layer="5" from-port="0" to-layer="36" to-port="4" />
627
+ <edge from-layer="6" from-port="0" to-layer="36" to-port="5" />
628
+ <edge from-layer="7" from-port="0" to-layer="14" to-port="0" />
629
+ <edge from-layer="8" from-port="1" to-layer="9" to-port="0" />
630
+ <edge from-layer="8" from-port="2" to-layer="21" to-port="3" />
631
+ <edge from-layer="8" from-port="1" to-layer="21" to-port="2" />
632
+ <edge from-layer="8" from-port="3" to-layer="21" to-port="4" />
633
+ <edge from-layer="9" from-port="1" to-layer="12" to-port="0" />
634
+ <edge from-layer="10" from-port="0" to-layer="12" to-port="1" />
635
+ <edge from-layer="11" from-port="0" to-layer="12" to-port="2" />
636
+ <edge from-layer="12" from-port="3" to-layer="14" to-port="1" />
637
+ <edge from-layer="12" from-port="3" to-layer="17" to-port="0" />
638
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="2" />
639
+ <edge from-layer="14" from-port="3" to-layer="21" to-port="0" />
640
+ <edge from-layer="15" from-port="0" to-layer="19" to-port="0" />
641
+ <edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
642
+ <edge from-layer="17" from-port="2" to-layer="19" to-port="1" />
643
+ <edge from-layer="18" from-port="0" to-layer="19" to-port="2" />
644
+ <edge from-layer="19" from-port="3" to-layer="21" to-port="1" />
645
+ <edge from-layer="20" from-port="0" to-layer="21" to-port="5" />
646
+ <edge from-layer="21" from-port="6" to-layer="22" to-port="0" />
647
+ <edge from-layer="21" from-port="7" to-layer="22" to-port="1" />
648
+ <edge from-layer="21" from-port="8" to-layer="22" to-port="2" />
649
+ <edge from-layer="21" from-port="9" to-layer="22" to-port="3" />
650
+ <edge from-layer="21" from-port="10" to-layer="22" to-port="4" />
651
+ <edge from-layer="22" from-port="6" to-layer="27" to-port="1" />
652
+ <edge from-layer="22" from-port="5" to-layer="27" to-port="0" />
653
+ <edge from-layer="22" from-port="7" to-layer="27" to-port="2" />
654
+ <edge from-layer="22" from-port="8" to-layer="27" to-port="3" />
655
+ <edge from-layer="22" from-port="9" to-layer="27" to-port="4" />
656
+ <edge from-layer="23" from-port="0" to-layer="24" to-port="0" />
657
+ <edge from-layer="24" from-port="3" to-layer="27" to-port="7" />
658
+ <edge from-layer="24" from-port="2" to-layer="27" to-port="6" />
659
+ <edge from-layer="24" from-port="1" to-layer="27" to-port="5" />
660
+ <edge from-layer="25" from-port="0" to-layer="26" to-port="0" />
661
+ <edge from-layer="26" from-port="3" to-layer="27" to-port="10" />
662
+ <edge from-layer="26" from-port="2" to-layer="27" to-port="9" />
663
+ <edge from-layer="26" from-port="1" to-layer="27" to-port="8" />
664
+ <edge from-layer="27" from-port="12" to-layer="28" to-port="0" />
665
+ <edge from-layer="27" from-port="11" to-layer="28" to-port="1" />
666
+ <edge from-layer="27" from-port="11" to-layer="31" to-port="0" />
667
+ <edge from-layer="27" from-port="11" to-layer="36" to-port="6" />
668
+ <edge from-layer="27" from-port="13" to-layer="36" to-port="8" />
669
+ <edge from-layer="28" from-port="2" to-layer="30" to-port="0" />
670
+ <edge from-layer="29" from-port="0" to-layer="30" to-port="1" />
671
+ <edge from-layer="30" from-port="2" to-layer="31" to-port="1" />
672
+ <edge from-layer="31" from-port="2" to-layer="36" to-port="7" />
673
+ <edge from-layer="32" from-port="0" to-layer="36" to-port="9" />
674
+ <edge from-layer="33" from-port="0" to-layer="36" to-port="10" />
675
+ <edge from-layer="34" from-port="0" to-layer="36" to-port="11" />
676
+ <edge from-layer="35" from-port="0" to-layer="36" to-port="12" />
677
+ <edge from-layer="36" from-port="14" to-layer="37" to-port="0" />
678
+ <edge from-layer="36" from-port="13" to-layer="37" to-port="1" />
679
+ <edge from-layer="36" from-port="13" to-layer="41" to-port="0" />
680
+ <edge from-layer="36" from-port="14" to-layer="41" to-port="1" />
681
+ <edge from-layer="36" from-port="15" to-layer="41" to-port="2" />
682
+ <edge from-layer="37" from-port="2" to-layer="39" to-port="0" />
683
+ <edge from-layer="38" from-port="0" to-layer="39" to-port="1" />
684
+ <edge from-layer="39" from-port="2" to-layer="41" to-port="3" />
685
+ <edge from-layer="40" from-port="0" to-layer="41" to-port="4" />
686
+ <edge from-layer="41" from-port="6" to-layer="42" to-port="0" />
687
+ <edge from-layer="41" from-port="5" to-layer="45" to-port="0" />
688
+ <edge from-layer="42" from-port="1" to-layer="43" to-port="0" />
689
+ <edge from-layer="43" from-port="1" to-layer="44" to-port="0" />
690
+ <edge from-layer="45" from-port="1" to-layer="46" to-port="0" />
691
+ </edges>
692
+ <rt_info>
693
+ <eos_token_id value="50257" />
694
+ </rt_info>
695
+ </net>
models/tokenizer/openvino_tokenizer_largev3.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c25cf62a51a91654ad7b51742e8ec48870b20b581aad3655f1a0aae2bba3fe3
3
+ size 1309329
models/tokenizer/openvino_tokenizer_largev3.xml ADDED
@@ -0,0 +1,1002 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="tokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_60916" type="Parameter" version="opset1">
5
+ <data shape="?" element_type="string" />
6
+ <output>
7
+ <port id="0" precision="STRING" names="Parameter_60916">
8
+ <dim>-1</dim>
9
+ </port>
10
+ </output>
11
+ </layer>
12
+ <layer id="1" name="Constant_61092" type="Const" version="opset1">
13
+ <data element_type="i32" shape="" offset="0" size="4" />
14
+ <output>
15
+ <port id="0" precision="I32" />
16
+ </output>
17
+ </layer>
18
+ <layer id="2" name="Constant_61093" type="Const" version="opset1">
19
+ <data element_type="i32" shape="" offset="4" size="4" />
20
+ <output>
21
+ <port id="0" precision="I32" />
22
+ </output>
23
+ </layer>
24
+ <layer id="3" name="Constant_61094" type="Const" version="opset1">
25
+ <data element_type="i32" shape="1" offset="8" size="4" />
26
+ <output>
27
+ <port id="0" precision="I32">
28
+ <dim>1</dim>
29
+ </port>
30
+ </output>
31
+ </layer>
32
+ <layer id="4" name="Constant_61095" type="Const" version="opset1">
33
+ <data element_type="i32" shape="" offset="0" size="4" />
34
+ <output>
35
+ <port id="0" precision="I32" />
36
+ </output>
37
+ </layer>
38
+ <layer id="5" name="Constant_61096" type="Const" version="opset1">
39
+ <data element_type="i32" shape="" offset="4" size="4" />
40
+ <output>
41
+ <port id="0" precision="I32" />
42
+ </output>
43
+ </layer>
44
+ <layer id="6" name="Constant_61097" type="Const" version="opset1">
45
+ <data element_type="i32" shape="1" offset="12" size="4" />
46
+ <output>
47
+ <port id="0" precision="I32">
48
+ <dim>1</dim>
49
+ </port>
50
+ </output>
51
+ </layer>
52
+ <layer id="7" name="Constant_60922" type="Const" version="opset1">
53
+ <data element_type="i32" shape="" offset="0" size="4" />
54
+ <output>
55
+ <port id="0" precision="I32" />
56
+ </output>
57
+ </layer>
58
+ <layer id="8" name="StringTensorUnpack_60917" type="StringTensorUnpack" version="extension">
59
+ <data mode="begins_ends" />
60
+ <input>
61
+ <port id="0" precision="STRING">
62
+ <dim>-1</dim>
63
+ </port>
64
+ </input>
65
+ <output>
66
+ <port id="1" precision="I32">
67
+ <dim>-1</dim>
68
+ </port>
69
+ <port id="2" precision="I32">
70
+ <dim>-1</dim>
71
+ </port>
72
+ <port id="3" precision="U8">
73
+ <dim>-1</dim>
74
+ </port>
75
+ </output>
76
+ </layer>
77
+ <layer id="9" name="ShapeOf_60918" type="ShapeOf" version="opset3">
78
+ <data output_type="i64" />
79
+ <input>
80
+ <port id="0" precision="I32">
81
+ <dim>-1</dim>
82
+ </port>
83
+ </input>
84
+ <output>
85
+ <port id="1" precision="I64">
86
+ <dim>1</dim>
87
+ </port>
88
+ </output>
89
+ </layer>
90
+ <layer id="10" name="Constant_60919" type="Const" version="opset1">
91
+ <data element_type="i32" shape="" offset="0" size="4" />
92
+ <output>
93
+ <port id="0" precision="I32" />
94
+ </output>
95
+ </layer>
96
+ <layer id="11" name="Constant_60920" type="Const" version="opset1">
97
+ <data element_type="i32" shape="" offset="0" size="4" />
98
+ <output>
99
+ <port id="0" precision="I32" />
100
+ </output>
101
+ </layer>
102
+ <layer id="12" name="Gather_60921" type="Gather" version="opset8">
103
+ <data batch_dims="0" />
104
+ <input>
105
+ <port id="0" precision="I64">
106
+ <dim>1</dim>
107
+ </port>
108
+ <port id="1" precision="I32" />
109
+ <port id="2" precision="I32" />
110
+ </input>
111
+ <output>
112
+ <port id="3" precision="I64" />
113
+ </output>
114
+ </layer>
115
+ <layer id="13" name="Constant_60923" type="Const" version="opset1">
116
+ <data element_type="i32" shape="" offset="4" size="4" />
117
+ <output>
118
+ <port id="0" precision="I32" />
119
+ </output>
120
+ </layer>
121
+ <layer id="14" name="Range_60924" type="Range" version="opset4">
122
+ <data output_type="i32" />
123
+ <input>
124
+ <port id="0" precision="I32" />
125
+ <port id="1" precision="I64" />
126
+ <port id="2" precision="I32" />
127
+ </input>
128
+ <output>
129
+ <port id="3" precision="I32">
130
+ <dim>-1</dim>
131
+ </port>
132
+ </output>
133
+ </layer>
134
+ <layer id="15" name="Constant_60926" type="Const" version="opset1">
135
+ <data element_type="i32" shape="" offset="4" size="4" />
136
+ <output>
137
+ <port id="0" precision="I32" />
138
+ </output>
139
+ </layer>
140
+ <layer id="16" name="Constant_60927" type="Const" version="opset1">
141
+ <data element_type="i64" shape="" offset="16" size="8" />
142
+ <output>
143
+ <port id="0" precision="I64" />
144
+ </output>
145
+ </layer>
146
+ <layer id="17" name="Add_60928" type="Add" version="opset1">
147
+ <data auto_broadcast="numpy" />
148
+ <input>
149
+ <port id="0" precision="I64" />
150
+ <port id="1" precision="I64" />
151
+ </input>
152
+ <output>
153
+ <port id="2" precision="I64" />
154
+ </output>
155
+ </layer>
156
+ <layer id="18" name="Constant_60929" type="Const" version="opset1">
157
+ <data element_type="i32" shape="" offset="4" size="4" />
158
+ <output>
159
+ <port id="0" precision="I32" />
160
+ </output>
161
+ </layer>
162
+ <layer id="19" name="Range_60930" type="Range" version="opset4">
163
+ <data output_type="i32" />
164
+ <input>
165
+ <port id="0" precision="I32" />
166
+ <port id="1" precision="I64" />
167
+ <port id="2" precision="I32" />
168
+ </input>
169
+ <output>
170
+ <port id="3" precision="I32">
171
+ <dim>-1</dim>
172
+ </port>
173
+ </output>
174
+ </layer>
175
+ <layer id="20" name="Constant_60993" type="Const" version="opset1">
176
+ <data element_type="u8" shape="23273" offset="24" size="23273" />
177
+ <output>
178
+ <port id="0" precision="U8">
179
+ <dim>23273</dim>
180
+ </port>
181
+ </output>
182
+ </layer>
183
+ <layer id="21" name="RegexSplit_60994" type="RegexSplit" version="extension">
184
+ <data behaviour="isolate" invert="false" max_splits="-1" />
185
+ <input>
186
+ <port id="0" precision="I32">
187
+ <dim>-1</dim>
188
+ </port>
189
+ <port id="1" precision="I32">
190
+ <dim>-1</dim>
191
+ </port>
192
+ <port id="2" precision="I32">
193
+ <dim>-1</dim>
194
+ </port>
195
+ <port id="3" precision="I32">
196
+ <dim>-1</dim>
197
+ </port>
198
+ <port id="4" precision="U8">
199
+ <dim>-1</dim>
200
+ </port>
201
+ <port id="5" precision="U8">
202
+ <dim>23273</dim>
203
+ </port>
204
+ </input>
205
+ <output>
206
+ <port id="6" precision="I32">
207
+ <dim>-1</dim>
208
+ </port>
209
+ <port id="7" precision="I32">
210
+ <dim>-1</dim>
211
+ </port>
212
+ <port id="8" precision="I32">
213
+ <dim>-1</dim>
214
+ </port>
215
+ <port id="9" precision="I32">
216
+ <dim>-1</dim>
217
+ </port>
218
+ <port id="10" precision="U8">
219
+ <dim>-1</dim>
220
+ </port>
221
+ </output>
222
+ </layer>
223
+ <layer id="22" name="Constant_60999" type="Const" version="opset1">
224
+ <data element_type="u8" shape="64" offset="23297" size="64" />
225
+ <output>
226
+ <port id="0" precision="U8">
227
+ <dim>64</dim>
228
+ </port>
229
+ </output>
230
+ </layer>
231
+ <layer id="23" name="Constant_60996" type="Const" version="opset1">
232
+ <data element_type="u8" shape="20172" offset="23361" size="20172" />
233
+ <output>
234
+ <port id="0" precision="U8">
235
+ <dim>20172</dim>
236
+ </port>
237
+ </output>
238
+ </layer>
239
+ <layer id="24" name="StringTensorUnpack_60997" type="StringTensorUnpack" version="extension">
240
+ <data mode="begins_ends" />
241
+ <input>
242
+ <port id="0" precision="U8">
243
+ <dim>20172</dim>
244
+ </port>
245
+ </input>
246
+ <output>
247
+ <port id="1" precision="I32">
248
+ <dim>-1</dim>
249
+ </port>
250
+ <port id="2" precision="I32">
251
+ <dim>-1</dim>
252
+ </port>
253
+ <port id="3" precision="U8">
254
+ <dim>-1</dim>
255
+ </port>
256
+ </output>
257
+ </layer>
258
+ <layer id="25" name="RegexSplit_61000" type="RegexSplit" version="extension">
259
+ <data behaviour="isolate" invert="false" max_splits="-1" />
260
+ <input>
261
+ <port id="0" precision="I32">
262
+ <dim>-1</dim>
263
+ </port>
264
+ <port id="1" precision="I32">
265
+ <dim>-1</dim>
266
+ </port>
267
+ <port id="2" precision="I32">
268
+ <dim>-1</dim>
269
+ </port>
270
+ <port id="3" precision="I32">
271
+ <dim>-1</dim>
272
+ </port>
273
+ <port id="4" precision="U8">
274
+ <dim>-1</dim>
275
+ </port>
276
+ <port id="5" precision="U8">
277
+ <dim>64</dim>
278
+ </port>
279
+ <port id="6" precision="I32">
280
+ <dim>-1</dim>
281
+ </port>
282
+ <port id="7" precision="I32">
283
+ <dim>-1</dim>
284
+ </port>
285
+ <port id="8" precision="U8">
286
+ <dim>-1</dim>
287
+ </port>
288
+ </input>
289
+ <output>
290
+ <port id="9" precision="I32">
291
+ <dim>-1</dim>
292
+ </port>
293
+ <port id="10" precision="I32">
294
+ <dim>-1</dim>
295
+ </port>
296
+ <port id="11" precision="I32">
297
+ <dim>-1</dim>
298
+ </port>
299
+ <port id="12" precision="I32">
300
+ <dim>-1</dim>
301
+ </port>
302
+ <port id="13" precision="U8">
303
+ <dim>-1</dim>
304
+ </port>
305
+ </output>
306
+ </layer>
307
+ <layer id="26" name="BytesToChars_61001" type="BytesToChars" version="extension">
308
+ <input>
309
+ <port id="0" precision="I32">
310
+ <dim>-1</dim>
311
+ </port>
312
+ <port id="1" precision="I32">
313
+ <dim>-1</dim>
314
+ </port>
315
+ <port id="2" precision="I32">
316
+ <dim>-1</dim>
317
+ </port>
318
+ <port id="3" precision="I32">
319
+ <dim>-1</dim>
320
+ </port>
321
+ <port id="4" precision="U8">
322
+ <dim>-1</dim>
323
+ </port>
324
+ </input>
325
+ <output>
326
+ <port id="5" precision="I32">
327
+ <dim>-1</dim>
328
+ </port>
329
+ <port id="6" precision="I32">
330
+ <dim>-1</dim>
331
+ </port>
332
+ <port id="7" precision="I32">
333
+ <dim>-1</dim>
334
+ </port>
335
+ <port id="8" precision="I32">
336
+ <dim>-1</dim>
337
+ </port>
338
+ <port id="9" precision="U8">
339
+ <dim>-1</dim>
340
+ </port>
341
+ </output>
342
+ </layer>
343
+ <layer id="27" name="Constant_61003" type="Const" version="opset1">
344
+ <data element_type="u8" shape="615473" offset="43533" size="615473" />
345
+ <output>
346
+ <port id="0" precision="U8">
347
+ <dim>615473</dim>
348
+ </port>
349
+ </output>
350
+ </layer>
351
+ <layer id="28" name="StringTensorUnpack_61004" type="StringTensorUnpack" version="extension">
352
+ <data mode="begins_ends" />
353
+ <input>
354
+ <port id="0" precision="U8">
355
+ <dim>615473</dim>
356
+ </port>
357
+ </input>
358
+ <output>
359
+ <port id="1" precision="I32">
360
+ <dim>-1</dim>
361
+ </port>
362
+ <port id="2" precision="I32">
363
+ <dim>-1</dim>
364
+ </port>
365
+ <port id="3" precision="U8">
366
+ <dim>-1</dim>
367
+ </port>
368
+ </output>
369
+ </layer>
370
+ <layer id="29" name="Constant_61084" type="Const" version="opset1">
371
+ <data element_type="u8" shape="643863" offset="659006" size="643863" />
372
+ <output>
373
+ <port id="0" precision="U8">
374
+ <dim>643863</dim>
375
+ </port>
376
+ </output>
377
+ </layer>
378
+ <layer id="30" name="StringTensorUnpack_61085" type="StringTensorUnpack" version="extension">
379
+ <data mode="begins_ends" />
380
+ <input>
381
+ <port id="0" precision="U8">
382
+ <dim>643863</dim>
383
+ </port>
384
+ </input>
385
+ <output>
386
+ <port id="1" precision="I32">
387
+ <dim>-1</dim>
388
+ </port>
389
+ <port id="2" precision="I32">
390
+ <dim>-1</dim>
391
+ </port>
392
+ <port id="3" precision="U8">
393
+ <dim>-1</dim>
394
+ </port>
395
+ </output>
396
+ </layer>
397
+ <layer id="31" name="Constant_61012" type="Const" version="opset1">
398
+ <data element_type="i32" shape="" offset="0" size="4" />
399
+ <output>
400
+ <port id="0" precision="I32" />
401
+ </output>
402
+ </layer>
403
+ <layer id="32" name="Constant_61006" type="Const" version="opset1">
404
+ <data element_type="u8" shape="20172" offset="23361" size="20172" />
405
+ <output>
406
+ <port id="0" precision="U8">
407
+ <dim>20172</dim>
408
+ </port>
409
+ </output>
410
+ </layer>
411
+ <layer id="33" name="StringTensorUnpack_61007" type="StringTensorUnpack" version="extension">
412
+ <data mode="begins_ends" />
413
+ <input>
414
+ <port id="0" precision="U8">
415
+ <dim>20172</dim>
416
+ </port>
417
+ </input>
418
+ <output>
419
+ <port id="1" precision="I32">
420
+ <dim>-1</dim>
421
+ </port>
422
+ <port id="2" precision="I32">
423
+ <dim>-1</dim>
424
+ </port>
425
+ <port id="3" precision="U8">
426
+ <dim>-1</dim>
427
+ </port>
428
+ </output>
429
+ </layer>
430
+ <layer id="34" name="ShapeOf_61008" type="ShapeOf" version="opset3">
431
+ <data output_type="i64" />
432
+ <input>
433
+ <port id="0" precision="I32">
434
+ <dim>-1</dim>
435
+ </port>
436
+ </input>
437
+ <output>
438
+ <port id="1" precision="I64">
439
+ <dim>1</dim>
440
+ </port>
441
+ </output>
442
+ </layer>
443
+ <layer id="35" name="Constant_61009" type="Const" version="opset1">
444
+ <data element_type="i32" shape="" offset="0" size="4" />
445
+ <output>
446
+ <port id="0" precision="I32" />
447
+ </output>
448
+ </layer>
449
+ <layer id="36" name="Constant_61010" type="Const" version="opset1">
450
+ <data element_type="i32" shape="" offset="0" size="4" />
451
+ <output>
452
+ <port id="0" precision="I32" />
453
+ </output>
454
+ </layer>
455
+ <layer id="37" name="Gather_61011" type="Gather" version="opset8">
456
+ <data batch_dims="0" />
457
+ <input>
458
+ <port id="0" precision="I64">
459
+ <dim>1</dim>
460
+ </port>
461
+ <port id="1" precision="I32" />
462
+ <port id="2" precision="I32" />
463
+ </input>
464
+ <output>
465
+ <port id="3" precision="I64" />
466
+ </output>
467
+ </layer>
468
+ <layer id="38" name="Constant_61013" type="Const" version="opset1">
469
+ <data element_type="i32" shape="" offset="4" size="4" />
470
+ <output>
471
+ <port id="0" precision="I32" />
472
+ </output>
473
+ </layer>
474
+ <layer id="39" name="Range_61014" type="Range" version="opset4">
475
+ <data output_type="i32" />
476
+ <input>
477
+ <port id="0" precision="I32" />
478
+ <port id="1" precision="I64" />
479
+ <port id="2" precision="I32" />
480
+ </input>
481
+ <output>
482
+ <port id="3" precision="I32">
483
+ <dim>-1</dim>
484
+ </port>
485
+ </output>
486
+ </layer>
487
+ <layer id="40" name="Constant_61016" type="Const" version="opset1">
488
+ <data element_type="i32" shape="" offset="4" size="4" />
489
+ <output>
490
+ <port id="0" precision="I32" />
491
+ </output>
492
+ </layer>
493
+ <layer id="41" name="Constant_61017" type="Const" version="opset1">
494
+ <data element_type="i64" shape="" offset="16" size="8" />
495
+ <output>
496
+ <port id="0" precision="I64" />
497
+ </output>
498
+ </layer>
499
+ <layer id="42" name="Add_61018" type="Add" version="opset1">
500
+ <data auto_broadcast="numpy" />
501
+ <input>
502
+ <port id="0" precision="I64" />
503
+ <port id="1" precision="I64" />
504
+ </input>
505
+ <output>
506
+ <port id="2" precision="I64" />
507
+ </output>
508
+ </layer>
509
+ <layer id="43" name="Constant_61019" type="Const" version="opset1">
510
+ <data element_type="i32" shape="" offset="4" size="4" />
511
+ <output>
512
+ <port id="0" precision="I32" />
513
+ </output>
514
+ </layer>
515
+ <layer id="44" name="Range_61020" type="Range" version="opset4">
516
+ <data output_type="i32" />
517
+ <input>
518
+ <port id="0" precision="I32" />
519
+ <port id="1" precision="I64" />
520
+ <port id="2" precision="I32" />
521
+ </input>
522
+ <output>
523
+ <port id="3" precision="I32">
524
+ <dim>-1</dim>
525
+ </port>
526
+ </output>
527
+ </layer>
528
+ <layer id="45" name="BytesToChars_61082" type="BytesToChars" version="extension">
529
+ <input>
530
+ <port id="0" precision="I32">
531
+ <dim>-1</dim>
532
+ </port>
533
+ <port id="1" precision="I32">
534
+ <dim>-1</dim>
535
+ </port>
536
+ <port id="2" precision="I32">
537
+ <dim>-1</dim>
538
+ </port>
539
+ <port id="3" precision="I32">
540
+ <dim>-1</dim>
541
+ </port>
542
+ <port id="4" precision="U8">
543
+ <dim>-1</dim>
544
+ </port>
545
+ </input>
546
+ <output>
547
+ <port id="5" precision="I32">
548
+ <dim>-1</dim>
549
+ </port>
550
+ <port id="6" precision="I32">
551
+ <dim>-1</dim>
552
+ </port>
553
+ <port id="7" precision="I32">
554
+ <dim>-1</dim>
555
+ </port>
556
+ <port id="8" precision="I32">
557
+ <dim>-1</dim>
558
+ </port>
559
+ <port id="9" precision="U8">
560
+ <dim>-1</dim>
561
+ </port>
562
+ </output>
563
+ </layer>
564
+ <layer id="46" name="Constant_61086" type="Const" version="opset1">
565
+ <data element_type="i32" shape="1609" offset="1302869" size="6436" />
566
+ <output>
567
+ <port id="0" precision="I32">
568
+ <dim>1609</dim>
569
+ </port>
570
+ </output>
571
+ </layer>
572
+ <layer id="47" name="BPETokenizer_61087" type="BPETokenizer" version="extension">
573
+ <data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" />
574
+ <input>
575
+ <port id="0" precision="I32">
576
+ <dim>-1</dim>
577
+ </port>
578
+ <port id="1" precision="I32">
579
+ <dim>-1</dim>
580
+ </port>
581
+ <port id="2" precision="I32">
582
+ <dim>-1</dim>
583
+ </port>
584
+ <port id="3" precision="I32">
585
+ <dim>-1</dim>
586
+ </port>
587
+ <port id="4" precision="U8">
588
+ <dim>-1</dim>
589
+ </port>
590
+ <port id="5" precision="I32">
591
+ <dim>-1</dim>
592
+ </port>
593
+ <port id="6" precision="I32">
594
+ <dim>-1</dim>
595
+ </port>
596
+ <port id="7" precision="U8">
597
+ <dim>-1</dim>
598
+ </port>
599
+ <port id="8" precision="I32">
600
+ <dim>-1</dim>
601
+ </port>
602
+ <port id="9" precision="I32">
603
+ <dim>-1</dim>
604
+ </port>
605
+ <port id="10" precision="U8">
606
+ <dim>-1</dim>
607
+ </port>
608
+ <port id="11" precision="I32">
609
+ <dim>-1</dim>
610
+ </port>
611
+ <port id="12" precision="I32">
612
+ <dim>-1</dim>
613
+ </port>
614
+ <port id="13" precision="U8">
615
+ <dim>-1</dim>
616
+ </port>
617
+ <port id="14" precision="I32">
618
+ <dim>1609</dim>
619
+ </port>
620
+ </input>
621
+ <output>
622
+ <port id="15" precision="I32">
623
+ <dim>-1</dim>
624
+ </port>
625
+ <port id="16" precision="I32">
626
+ <dim>-1</dim>
627
+ </port>
628
+ <port id="17" precision="I32">
629
+ <dim>-1</dim>
630
+ </port>
631
+ </output>
632
+ </layer>
633
+ <layer id="48" name="Subtract_61088" type="Subtract" version="opset1">
634
+ <data auto_broadcast="numpy" />
635
+ <input>
636
+ <port id="0" precision="I32">
637
+ <dim>-1</dim>
638
+ </port>
639
+ <port id="1" precision="I32">
640
+ <dim>-1</dim>
641
+ </port>
642
+ </input>
643
+ <output>
644
+ <port id="2" precision="I32">
645
+ <dim>-1</dim>
646
+ </port>
647
+ </output>
648
+ </layer>
649
+ <layer id="49" name="Constant_61089" type="Const" version="opset1">
650
+ <data element_type="i32" shape="" offset="1309305" size="4" />
651
+ <output>
652
+ <port id="0" precision="I32" />
653
+ </output>
654
+ </layer>
655
+ <layer id="50" name="Minimum_61090" type="Minimum" version="opset1">
656
+ <data auto_broadcast="numpy" />
657
+ <input>
658
+ <port id="0" precision="I32">
659
+ <dim>-1</dim>
660
+ </port>
661
+ <port id="1" precision="I32" />
662
+ </input>
663
+ <output>
664
+ <port id="2" precision="I32">
665
+ <dim>-1</dim>
666
+ </port>
667
+ </output>
668
+ </layer>
669
+ <layer id="51" name="Add_61091" type="Add" version="opset1">
670
+ <data auto_broadcast="numpy" />
671
+ <input>
672
+ <port id="0" precision="I32">
673
+ <dim>-1</dim>
674
+ </port>
675
+ <port id="1" precision="I32">
676
+ <dim>-1</dim>
677
+ </port>
678
+ </input>
679
+ <output>
680
+ <port id="2" precision="I32">
681
+ <dim>-1</dim>
682
+ </port>
683
+ </output>
684
+ </layer>
685
+ <layer id="52" name="Constant_61098" type="Const" version="opset1">
686
+ <data element_type="i32" shape="" offset="0" size="4" />
687
+ <output>
688
+ <port id="0" precision="I32" />
689
+ </output>
690
+ </layer>
691
+ <layer id="53" name="Constant_61099" type="Const" version="opset1">
692
+ <data element_type="i32" shape="" offset="4" size="4" />
693
+ <output>
694
+ <port id="0" precision="I32" />
695
+ </output>
696
+ </layer>
697
+ <layer id="54" name="Constant_61100" type="Const" version="opset1">
698
+ <data element_type="i32" shape="1" offset="1309309" size="4" />
699
+ <output>
700
+ <port id="0" precision="I32">
701
+ <dim>1</dim>
702
+ </port>
703
+ </output>
704
+ </layer>
705
+ <layer id="55" name="Constant_61101" type="Const" version="opset1">
706
+ <data element_type="i32" shape="4" offset="1309313" size="16" />
707
+ <output>
708
+ <port id="0" precision="I32">
709
+ <dim>4</dim>
710
+ </port>
711
+ </output>
712
+ </layer>
713
+ <layer id="56" name="CombineSegments_61102" type="CombineSegments" version="extension">
714
+ <input>
715
+ <port id="0" precision="I32" />
716
+ <port id="1" precision="I32" />
717
+ <port id="2" precision="I32">
718
+ <dim>1</dim>
719
+ </port>
720
+ <port id="3" precision="I32" />
721
+ <port id="4" precision="I32" />
722
+ <port id="5" precision="I32">
723
+ <dim>1</dim>
724
+ </port>
725
+ <port id="6" precision="I32">
726
+ <dim>-1</dim>
727
+ </port>
728
+ <port id="7" precision="I32">
729
+ <dim>-1</dim>
730
+ </port>
731
+ <port id="8" precision="I32">
732
+ <dim>-1</dim>
733
+ </port>
734
+ <port id="9" precision="I32" />
735
+ <port id="10" precision="I32" />
736
+ <port id="11" precision="I32">
737
+ <dim>1</dim>
738
+ </port>
739
+ <port id="12" precision="I32">
740
+ <dim>4</dim>
741
+ </port>
742
+ </input>
743
+ <output>
744
+ <port id="13" precision="I32">
745
+ <dim>-1</dim>
746
+ </port>
747
+ <port id="14" precision="I32">
748
+ <dim>-1</dim>
749
+ </port>
750
+ <port id="15" precision="I32">
751
+ <dim>-1</dim>
752
+ </port>
753
+ <port id="16" precision="I32">
754
+ <dim>-1</dim>
755
+ </port>
756
+ <port id="17" precision="I32">
757
+ <dim>-1</dim>
758
+ </port>
759
+ <port id="18" precision="I32">
760
+ <dim>-1</dim>
761
+ </port>
762
+ </output>
763
+ </layer>
764
+ <layer id="57" name="Subtract_61103" type="Subtract" version="opset1">
765
+ <data auto_broadcast="numpy" />
766
+ <input>
767
+ <port id="0" precision="I32">
768
+ <dim>-1</dim>
769
+ </port>
770
+ <port id="1" precision="I32">
771
+ <dim>-1</dim>
772
+ </port>
773
+ </input>
774
+ <output>
775
+ <port id="2" precision="I32">
776
+ <dim>-1</dim>
777
+ </port>
778
+ </output>
779
+ </layer>
780
+ <layer id="58" name="Constant_61104" type="Const" version="opset1">
781
+ <data element_type="i32" shape="" offset="0" size="4" />
782
+ <output>
783
+ <port id="0" precision="I32" />
784
+ </output>
785
+ </layer>
786
+ <layer id="59" name="ReduceMax_61105" type="ReduceMax" version="opset1">
787
+ <data keep_dims="false" />
788
+ <input>
789
+ <port id="0" precision="I32">
790
+ <dim>-1</dim>
791
+ </port>
792
+ <port id="1" precision="I32" />
793
+ </input>
794
+ <output>
795
+ <port id="2" precision="I32" />
796
+ </output>
797
+ </layer>
798
+ <layer id="60" name="Constant_61106" type="Const" version="opset1">
799
+ <data element_type="i32" shape="" offset="1309309" size="4" />
800
+ <output>
801
+ <port id="0" precision="I32" />
802
+ </output>
803
+ </layer>
804
+ <layer id="61" name="RaggedToDense_61107" type="RaggedToDense" version="extension">
805
+ <data pad_right="true" />
806
+ <input>
807
+ <port id="0" precision="I32">
808
+ <dim>-1</dim>
809
+ </port>
810
+ <port id="1" precision="I32">
811
+ <dim>-1</dim>
812
+ </port>
813
+ <port id="2" precision="I32">
814
+ <dim>-1</dim>
815
+ </port>
816
+ <port id="3" precision="I32" />
817
+ <port id="4" precision="I32" />
818
+ </input>
819
+ <output>
820
+ <port id="5" precision="I32">
821
+ <dim>-1</dim>
822
+ <dim>-1</dim>
823
+ </port>
824
+ <port id="6" precision="BOOL">
825
+ <dim>-1</dim>
826
+ <dim>-1</dim>
827
+ </port>
828
+ </output>
829
+ </layer>
830
+ <layer id="62" name="Convert_61108" type="Convert" version="opset1">
831
+ <data destination_type="i32" />
832
+ <input>
833
+ <port id="0" precision="BOOL">
834
+ <dim>-1</dim>
835
+ <dim>-1</dim>
836
+ </port>
837
+ </input>
838
+ <output>
839
+ <port id="1" precision="I32">
840
+ <dim>-1</dim>
841
+ <dim>-1</dim>
842
+ </port>
843
+ </output>
844
+ </layer>
845
+ <layer id="63" name="Convert_61108" type="Convert" version="opset1">
846
+ <data destination_type="i64" />
847
+ <input>
848
+ <port id="0" precision="I32">
849
+ <dim>-1</dim>
850
+ <dim>-1</dim>
851
+ </port>
852
+ </input>
853
+ <output>
854
+ <port id="1" precision="I64" names="attention_mask">
855
+ <dim>-1</dim>
856
+ <dim>-1</dim>
857
+ </port>
858
+ </output>
859
+ </layer>
860
+ <layer id="65" name="RaggedToDense_61107.0" type="Convert" version="opset1">
861
+ <data destination_type="i64" />
862
+ <input>
863
+ <port id="0" precision="I32">
864
+ <dim>-1</dim>
865
+ <dim>-1</dim>
866
+ </port>
867
+ </input>
868
+ <output>
869
+ <port id="1" precision="I64" names="input_ids">
870
+ <dim>-1</dim>
871
+ <dim>-1</dim>
872
+ </port>
873
+ </output>
874
+ </layer>
875
+ <layer id="66" name="Result_61111" type="Result" version="opset1">
876
+ <input>
877
+ <port id="0" precision="I64">
878
+ <dim>-1</dim>
879
+ <dim>-1</dim>
880
+ </port>
881
+ </input>
882
+ </layer>
883
+ <layer id="64" name="Result_61113" type="Result" version="opset1">
884
+ <input>
885
+ <port id="0" precision="I64">
886
+ <dim>-1</dim>
887
+ <dim>-1</dim>
888
+ </port>
889
+ </input>
890
+ </layer>
891
+ </layers>
892
+ <edges>
893
+ <edge from-layer="0" from-port="0" to-layer="8" to-port="0" />
894
+ <edge from-layer="1" from-port="0" to-layer="56" to-port="0" />
895
+ <edge from-layer="2" from-port="0" to-layer="56" to-port="1" />
896
+ <edge from-layer="3" from-port="0" to-layer="56" to-port="2" />
897
+ <edge from-layer="4" from-port="0" to-layer="56" to-port="3" />
898
+ <edge from-layer="5" from-port="0" to-layer="56" to-port="4" />
899
+ <edge from-layer="6" from-port="0" to-layer="56" to-port="5" />
900
+ <edge from-layer="7" from-port="0" to-layer="14" to-port="0" />
901
+ <edge from-layer="8" from-port="1" to-layer="9" to-port="0" />
902
+ <edge from-layer="8" from-port="1" to-layer="21" to-port="2" />
903
+ <edge from-layer="8" from-port="2" to-layer="21" to-port="3" />
904
+ <edge from-layer="8" from-port="3" to-layer="21" to-port="4" />
905
+ <edge from-layer="9" from-port="1" to-layer="12" to-port="0" />
906
+ <edge from-layer="10" from-port="0" to-layer="12" to-port="1" />
907
+ <edge from-layer="11" from-port="0" to-layer="12" to-port="2" />
908
+ <edge from-layer="12" from-port="3" to-layer="14" to-port="1" />
909
+ <edge from-layer="12" from-port="3" to-layer="17" to-port="0" />
910
+ <edge from-layer="13" from-port="0" to-layer="14" to-port="2" />
911
+ <edge from-layer="14" from-port="3" to-layer="21" to-port="0" />
912
+ <edge from-layer="15" from-port="0" to-layer="19" to-port="0" />
913
+ <edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
914
+ <edge from-layer="17" from-port="2" to-layer="19" to-port="1" />
915
+ <edge from-layer="18" from-port="0" to-layer="19" to-port="2" />
916
+ <edge from-layer="19" from-port="3" to-layer="21" to-port="1" />
917
+ <edge from-layer="20" from-port="0" to-layer="21" to-port="5" />
918
+ <edge from-layer="21" from-port="6" to-layer="25" to-port="0" />
919
+ <edge from-layer="21" from-port="7" to-layer="25" to-port="1" />
920
+ <edge from-layer="21" from-port="8" to-layer="25" to-port="2" />
921
+ <edge from-layer="21" from-port="9" to-layer="25" to-port="3" />
922
+ <edge from-layer="21" from-port="10" to-layer="25" to-port="4" />
923
+ <edge from-layer="22" from-port="0" to-layer="25" to-port="5" />
924
+ <edge from-layer="23" from-port="0" to-layer="24" to-port="0" />
925
+ <edge from-layer="24" from-port="1" to-layer="25" to-port="6" />
926
+ <edge from-layer="24" from-port="2" to-layer="25" to-port="7" />
927
+ <edge from-layer="24" from-port="3" to-layer="25" to-port="8" />
928
+ <edge from-layer="25" from-port="9" to-layer="26" to-port="0" />
929
+ <edge from-layer="25" from-port="10" to-layer="26" to-port="1" />
930
+ <edge from-layer="25" from-port="11" to-layer="26" to-port="2" />
931
+ <edge from-layer="25" from-port="12" to-layer="26" to-port="3" />
932
+ <edge from-layer="25" from-port="13" to-layer="26" to-port="4" />
933
+ <edge from-layer="26" from-port="5" to-layer="47" to-port="0" />
934
+ <edge from-layer="26" from-port="9" to-layer="47" to-port="4" />
935
+ <edge from-layer="26" from-port="8" to-layer="47" to-port="3" />
936
+ <edge from-layer="26" from-port="7" to-layer="47" to-port="2" />
937
+ <edge from-layer="26" from-port="6" to-layer="47" to-port="1" />
938
+ <edge from-layer="27" from-port="0" to-layer="28" to-port="0" />
939
+ <edge from-layer="28" from-port="3" to-layer="47" to-port="7" />
940
+ <edge from-layer="28" from-port="2" to-layer="47" to-port="6" />
941
+ <edge from-layer="28" from-port="1" to-layer="47" to-port="5" />
942
+ <edge from-layer="29" from-port="0" to-layer="30" to-port="0" />
943
+ <edge from-layer="30" from-port="2" to-layer="47" to-port="9" />
944
+ <edge from-layer="30" from-port="3" to-layer="47" to-port="10" />
945
+ <edge from-layer="30" from-port="1" to-layer="47" to-port="8" />
946
+ <edge from-layer="31" from-port="0" to-layer="39" to-port="0" />
947
+ <edge from-layer="32" from-port="0" to-layer="33" to-port="0" />
948
+ <edge from-layer="33" from-port="1" to-layer="45" to-port="2" />
949
+ <edge from-layer="33" from-port="2" to-layer="45" to-port="3" />
950
+ <edge from-layer="33" from-port="3" to-layer="45" to-port="4" />
951
+ <edge from-layer="33" from-port="1" to-layer="34" to-port="0" />
952
+ <edge from-layer="34" from-port="1" to-layer="37" to-port="0" />
953
+ <edge from-layer="35" from-port="0" to-layer="37" to-port="1" />
954
+ <edge from-layer="36" from-port="0" to-layer="37" to-port="2" />
955
+ <edge from-layer="37" from-port="3" to-layer="42" to-port="0" />
956
+ <edge from-layer="37" from-port="3" to-layer="39" to-port="1" />
957
+ <edge from-layer="38" from-port="0" to-layer="39" to-port="2" />
958
+ <edge from-layer="39" from-port="3" to-layer="45" to-port="0" />
959
+ <edge from-layer="40" from-port="0" to-layer="44" to-port="0" />
960
+ <edge from-layer="41" from-port="0" to-layer="42" to-port="1" />
961
+ <edge from-layer="42" from-port="2" to-layer="44" to-port="1" />
962
+ <edge from-layer="43" from-port="0" to-layer="44" to-port="2" />
963
+ <edge from-layer="44" from-port="3" to-layer="45" to-port="1" />
964
+ <edge from-layer="45" from-port="7" to-layer="47" to-port="11" />
965
+ <edge from-layer="45" from-port="8" to-layer="47" to-port="12" />
966
+ <edge from-layer="45" from-port="9" to-layer="47" to-port="13" />
967
+ <edge from-layer="46" from-port="0" to-layer="47" to-port="14" />
968
+ <edge from-layer="47" from-port="16" to-layer="48" to-port="0" />
969
+ <edge from-layer="47" from-port="15" to-layer="48" to-port="1" />
970
+ <edge from-layer="47" from-port="15" to-layer="51" to-port="0" />
971
+ <edge from-layer="47" from-port="15" to-layer="56" to-port="6" />
972
+ <edge from-layer="47" from-port="17" to-layer="56" to-port="8" />
973
+ <edge from-layer="48" from-port="2" to-layer="50" to-port="0" />
974
+ <edge from-layer="49" from-port="0" to-layer="50" to-port="1" />
975
+ <edge from-layer="50" from-port="2" to-layer="51" to-port="1" />
976
+ <edge from-layer="51" from-port="2" to-layer="56" to-port="7" />
977
+ <edge from-layer="52" from-port="0" to-layer="56" to-port="9" />
978
+ <edge from-layer="53" from-port="0" to-layer="56" to-port="10" />
979
+ <edge from-layer="54" from-port="0" to-layer="56" to-port="11" />
980
+ <edge from-layer="55" from-port="0" to-layer="56" to-port="12" />
981
+ <edge from-layer="56" from-port="14" to-layer="57" to-port="0" />
982
+ <edge from-layer="56" from-port="13" to-layer="57" to-port="1" />
983
+ <edge from-layer="56" from-port="13" to-layer="61" to-port="0" />
984
+ <edge from-layer="56" from-port="14" to-layer="61" to-port="1" />
985
+ <edge from-layer="56" from-port="15" to-layer="61" to-port="2" />
986
+ <edge from-layer="57" from-port="2" to-layer="59" to-port="0" />
987
+ <edge from-layer="58" from-port="0" to-layer="59" to-port="1" />
988
+ <edge from-layer="59" from-port="2" to-layer="61" to-port="3" />
989
+ <edge from-layer="60" from-port="0" to-layer="61" to-port="4" />
990
+ <edge from-layer="61" from-port="6" to-layer="62" to-port="0" />
991
+ <edge from-layer="61" from-port="5" to-layer="65" to-port="0" />
992
+ <edge from-layer="62" from-port="1" to-layer="63" to-port="0" />
993
+ <edge from-layer="63" from-port="1" to-layer="64" to-port="0" />
994
+ <edge from-layer="65" from-port="1" to-layer="66" to-port="0" />
995
+ </edges>
996
+ <rt_info>
997
+ <bos_token_id value="50257" />
998
+ <eos_token_id value="50257" />
999
+ <original_tokenizer_class value="&lt;class 'transformers.models.whisper.tokenization_whisper_fast.WhisperTokenizerFast'>" />
1000
+ <pad_token_id value="50257" />
1001
+ </rt_info>
1002
+ </net>