Hugging Face's logo

llmware
/
industry-bert-sec-ov

OpenVINO
bert
green
p1
llmware-encoder
ov
Model card Files Community
doberst commited on
Commit
5e68fc6
•
1 Parent(s): 77e7bc6

Upload 9 files

Browse files
Files changed (9) hide show
  1. config.json +27 -0
  2. openvino_model.bin +3 -0
  3. openvino_model.xml +0 -0
  4. openvino_tokenizer.bin +3 -0
  5. openvino_tokenizer.xml +873 -0
  6. special_tokens_map.json +7 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +62 -0
  9. vocab.txt +0 -0
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "llmware/industry-bert-sec-v0.1",
3
+ "architectures": [
4
+ "BertModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "description": "Sentence transformer embedding model finetuned on wide range of public SEC filings and regulatory documents",
9
+ "gradient_checkpointing": false,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-12,
16
+ "max_position_embeddings": 512,
17
+ "model_name": "industry-bert-sec-v0.1",
18
+ "model_type": "bert",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "pad_token_id": 0,
22
+ "position_embedding_type": "absolute",
23
+ "transformers_version": "4.43.4",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 30522
27
+ }
openvino_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:015683f2d09b3f72443527e066f231b135204493d165c7b76119e20e9b35c5a1
3
+ size 69680476
openvino_model.xml ADDED
The diff for this file is too large to render. See raw diff
 
openvino_tokenizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9475361143f7259c5bad30fafbbdb6ab286aa13254aba8cae392b3b585668899
3
+ size 323377
openvino_tokenizer.xml ADDED
@@ -0,0 +1,873 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <?xml version="1.0"?>
2
+ <net name="tokenizer" version="11">
3
+ <layers>
4
+ <layer id="0" name="Parameter_11643" type="Parameter" version="opset1">
5
+ <data shape="?" element_type="string" />
6
+ <output>
7
+ <port id="0" precision="STRING" names="Parameter_11643">
8
+ <dim>-1</dim>
9
+ </port>
10
+ </output>
11
+ </layer>
12
+ <layer id="1" name="Constant_11746" 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_11747" 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_11748" 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_11661" 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="StringTensorUnpack_11644" type="StringTensorUnpack" version="extension">
39
+ <data mode="begins_ends" />
40
+ <input>
41
+ <port id="0" precision="STRING">
42
+ <dim>-1</dim>
43
+ </port>
44
+ </input>
45
+ <output>
46
+ <port id="1" precision="I32">
47
+ <dim>-1</dim>
48
+ </port>
49
+ <port id="2" precision="I32">
50
+ <dim>-1</dim>
51
+ </port>
52
+ <port id="3" precision="U8">
53
+ <dim>-1</dim>
54
+ </port>
55
+ </output>
56
+ </layer>
57
+ <layer id="6" name="Constant_11646" type="Const" version="opset1">
58
+ <data element_type="u8" shape="39" offset="12" size="39" />
59
+ <output>
60
+ <port id="0" precision="U8">
61
+ <dim>39</dim>
62
+ </port>
63
+ </output>
64
+ </layer>
65
+ <layer id="7" name="Constant_11648" type="Const" version="opset1">
66
+ <data element_type="u8" shape="0" offset="51" size="1" />
67
+ <output>
68
+ <port id="0" precision="U8">
69
+ <dim>0</dim>
70
+ </port>
71
+ </output>
72
+ </layer>
73
+ <layer id="8" name="RegexNormalization_11649" type="RegexNormalization" version="extension">
74
+ <data global_replace="true" />
75
+ <input>
76
+ <port id="0" precision="I32">
77
+ <dim>-1</dim>
78
+ </port>
79
+ <port id="1" precision="I32">
80
+ <dim>-1</dim>
81
+ </port>
82
+ <port id="2" precision="U8">
83
+ <dim>-1</dim>
84
+ </port>
85
+ <port id="3" precision="U8">
86
+ <dim>39</dim>
87
+ </port>
88
+ <port id="4" precision="U8">
89
+ <dim>0</dim>
90
+ </port>
91
+ </input>
92
+ <output>
93
+ <port id="5" precision="I32">
94
+ <dim>-1</dim>
95
+ </port>
96
+ <port id="6" precision="I32">
97
+ <dim>-1</dim>
98
+ </port>
99
+ <port id="7" precision="U8">
100
+ <dim>-1</dim>
101
+ </port>
102
+ </output>
103
+ </layer>
104
+ <layer id="9" name="NormalizeUnicode_11650" type="NormalizeUnicode" version="extension">
105
+ <data normalization_form="NFD" />
106
+ <input>
107
+ <port id="0" precision="I32">
108
+ <dim>-1</dim>
109
+ </port>
110
+ <port id="1" precision="I32">
111
+ <dim>-1</dim>
112
+ </port>
113
+ <port id="2" precision="U8">
114
+ <dim>-1</dim>
115
+ </port>
116
+ </input>
117
+ <output>
118
+ <port id="3" precision="I32">
119
+ <dim>-1</dim>
120
+ </port>
121
+ <port id="4" precision="I32">
122
+ <dim>-1</dim>
123
+ </port>
124
+ <port id="5" precision="U8">
125
+ <dim>-1</dim>
126
+ </port>
127
+ </output>
128
+ </layer>
129
+ <layer id="10" name="Constant_11652" type="Const" version="opset1">
130
+ <data element_type="u8" shape="6" offset="52" size="6" />
131
+ <output>
132
+ <port id="0" precision="U8">
133
+ <dim>6</dim>
134
+ </port>
135
+ </output>
136
+ </layer>
137
+ <layer id="11" name="Constant_11654" type="Const" version="opset1">
138
+ <data element_type="u8" shape="0" offset="51" size="1" />
139
+ <output>
140
+ <port id="0" precision="U8">
141
+ <dim>0</dim>
142
+ </port>
143
+ </output>
144
+ </layer>
145
+ <layer id="12" name="RegexNormalization_11655" type="RegexNormalization" version="extension">
146
+ <data global_replace="true" />
147
+ <input>
148
+ <port id="0" precision="I32">
149
+ <dim>-1</dim>
150
+ </port>
151
+ <port id="1" precision="I32">
152
+ <dim>-1</dim>
153
+ </port>
154
+ <port id="2" precision="U8">
155
+ <dim>-1</dim>
156
+ </port>
157
+ <port id="3" precision="U8">
158
+ <dim>6</dim>
159
+ </port>
160
+ <port id="4" precision="U8">
161
+ <dim>0</dim>
162
+ </port>
163
+ </input>
164
+ <output>
165
+ <port id="5" precision="I32">
166
+ <dim>-1</dim>
167
+ </port>
168
+ <port id="6" precision="I32">
169
+ <dim>-1</dim>
170
+ </port>
171
+ <port id="7" precision="U8">
172
+ <dim>-1</dim>
173
+ </port>
174
+ </output>
175
+ </layer>
176
+ <layer id="13" name="CaseFold_11656" type="CaseFold" version="extension">
177
+ <data encoding="utf-8" />
178
+ <input>
179
+ <port id="0" precision="I32">
180
+ <dim>-1</dim>
181
+ </port>
182
+ <port id="1" precision="I32">
183
+ <dim>-1</dim>
184
+ </port>
185
+ <port id="2" precision="U8">
186
+ <dim>-1</dim>
187
+ </port>
188
+ </input>
189
+ <output>
190
+ <port id="3" precision="I32">
191
+ <dim>-1</dim>
192
+ </port>
193
+ <port id="4" precision="I32">
194
+ <dim>-1</dim>
195
+ </port>
196
+ <port id="5" precision="U8">
197
+ <dim>-1</dim>
198
+ </port>
199
+ </output>
200
+ </layer>
201
+ <layer id="14" name="ShapeOf_11657" type="ShapeOf" version="opset3">
202
+ <data output_type="i64" />
203
+ <input>
204
+ <port id="0" precision="I32">
205
+ <dim>-1</dim>
206
+ </port>
207
+ </input>
208
+ <output>
209
+ <port id="1" precision="I64">
210
+ <dim>1</dim>
211
+ </port>
212
+ </output>
213
+ </layer>
214
+ <layer id="15" name="Constant_11658" type="Const" version="opset1">
215
+ <data element_type="i32" shape="" offset="0" size="4" />
216
+ <output>
217
+ <port id="0" precision="I32" />
218
+ </output>
219
+ </layer>
220
+ <layer id="16" name="Constant_11659" type="Const" version="opset1">
221
+ <data element_type="i32" shape="" offset="0" size="4" />
222
+ <output>
223
+ <port id="0" precision="I32" />
224
+ </output>
225
+ </layer>
226
+ <layer id="17" name="Gather_11660" type="Gather" version="opset8">
227
+ <data batch_dims="0" />
228
+ <input>
229
+ <port id="0" precision="I64">
230
+ <dim>1</dim>
231
+ </port>
232
+ <port id="1" precision="I32" />
233
+ <port id="2" precision="I32" />
234
+ </input>
235
+ <output>
236
+ <port id="3" precision="I64" />
237
+ </output>
238
+ </layer>
239
+ <layer id="18" name="Constant_11662" type="Const" version="opset1">
240
+ <data element_type="i32" shape="" offset="4" size="4" />
241
+ <output>
242
+ <port id="0" precision="I32" />
243
+ </output>
244
+ </layer>
245
+ <layer id="19" name="Range_11663" type="Range" version="opset4">
246
+ <data output_type="i32" />
247
+ <input>
248
+ <port id="0" precision="I32" />
249
+ <port id="1" precision="I64" />
250
+ <port id="2" precision="I32" />
251
+ </input>
252
+ <output>
253
+ <port id="3" precision="I32">
254
+ <dim>-1</dim>
255
+ </port>
256
+ </output>
257
+ </layer>
258
+ <layer id="20" name="Constant_11665" type="Const" version="opset1">
259
+ <data element_type="i32" shape="" offset="4" size="4" />
260
+ <output>
261
+ <port id="0" precision="I32" />
262
+ </output>
263
+ </layer>
264
+ <layer id="21" name="Constant_11666" type="Const" version="opset1">
265
+ <data element_type="i64" shape="" offset="58" size="8" />
266
+ <output>
267
+ <port id="0" precision="I64" />
268
+ </output>
269
+ </layer>
270
+ <layer id="22" name="Add_11667" type="Add" version="opset1">
271
+ <data auto_broadcast="numpy" />
272
+ <input>
273
+ <port id="0" precision="I64" />
274
+ <port id="1" precision="I64" />
275
+ </input>
276
+ <output>
277
+ <port id="2" precision="I64" />
278
+ </output>
279
+ </layer>
280
+ <layer id="23" name="Constant_11668" type="Const" version="opset1">
281
+ <data element_type="i32" shape="" offset="4" size="4" />
282
+ <output>
283
+ <port id="0" precision="I32" />
284
+ </output>
285
+ </layer>
286
+ <layer id="24" name="Range_11669" type="Range" version="opset4">
287
+ <data output_type="i32" />
288
+ <input>
289
+ <port id="0" precision="I32" />
290
+ <port id="1" precision="I64" />
291
+ <port id="2" precision="I32" />
292
+ </input>
293
+ <output>
294
+ <port id="3" precision="I32">
295
+ <dim>-1</dim>
296
+ </port>
297
+ </output>
298
+ </layer>
299
+ <layer id="25" name="Constant_11732" type="Const" version="opset1">
300
+ <data element_type="u8" shape="3" offset="66" size="3" />
301
+ <output>
302
+ <port id="0" precision="U8">
303
+ <dim>3</dim>
304
+ </port>
305
+ </output>
306
+ </layer>
307
+ <layer id="26" name="RegexSplit_11733" type="RegexSplit" version="extension">
308
+ <data behaviour="remove" invert="false" max_splits="-1" />
309
+ <input>
310
+ <port id="0" precision="I32">
311
+ <dim>-1</dim>
312
+ </port>
313
+ <port id="1" precision="I32">
314
+ <dim>-1</dim>
315
+ </port>
316
+ <port id="2" precision="I32">
317
+ <dim>-1</dim>
318
+ </port>
319
+ <port id="3" precision="I32">
320
+ <dim>-1</dim>
321
+ </port>
322
+ <port id="4" precision="U8">
323
+ <dim>-1</dim>
324
+ </port>
325
+ <port id="5" precision="U8">
326
+ <dim>3</dim>
327
+ </port>
328
+ </input>
329
+ <output>
330
+ <port id="6" precision="I32">
331
+ <dim>-1</dim>
332
+ </port>
333
+ <port id="7" precision="I32">
334
+ <dim>-1</dim>
335
+ </port>
336
+ <port id="8" precision="I32">
337
+ <dim>-1</dim>
338
+ </port>
339
+ <port id="9" precision="I32">
340
+ <dim>-1</dim>
341
+ </port>
342
+ <port id="10" precision="U8">
343
+ <dim>-1</dim>
344
+ </port>
345
+ </output>
346
+ </layer>
347
+ <layer id="27" name="Constant_11735" type="Const" version="opset1">
348
+ <data element_type="u8" shape="202" offset="69" size="202" />
349
+ <output>
350
+ <port id="0" precision="U8">
351
+ <dim>202</dim>
352
+ </port>
353
+ </output>
354
+ </layer>
355
+ <layer id="28" name="RegexSplit_11736" type="RegexSplit" version="extension">
356
+ <data behaviour="isolate" invert="false" max_splits="-1" />
357
+ <input>
358
+ <port id="0" precision="I32">
359
+ <dim>-1</dim>
360
+ </port>
361
+ <port id="1" precision="I32">
362
+ <dim>-1</dim>
363
+ </port>
364
+ <port id="2" precision="I32">
365
+ <dim>-1</dim>
366
+ </port>
367
+ <port id="3" precision="I32">
368
+ <dim>-1</dim>
369
+ </port>
370
+ <port id="4" precision="U8">
371
+ <dim>-1</dim>
372
+ </port>
373
+ <port id="5" precision="U8">
374
+ <dim>202</dim>
375
+ </port>
376
+ </input>
377
+ <output>
378
+ <port id="6" precision="I32">
379
+ <dim>-1</dim>
380
+ </port>
381
+ <port id="7" precision="I32">
382
+ <dim>-1</dim>
383
+ </port>
384
+ <port id="8" precision="I32">
385
+ <dim>-1</dim>
386
+ </port>
387
+ <port id="9" precision="I32">
388
+ <dim>-1</dim>
389
+ </port>
390
+ <port id="10" precision="U8">
391
+ <dim>-1</dim>
392
+ </port>
393
+ </output>
394
+ </layer>
395
+ <layer id="29" name="Constant_11738" type="Const" version="opset1">
396
+ <data element_type="u8" shape="323082" offset="271" size="323082" />
397
+ <output>
398
+ <port id="0" precision="U8">
399
+ <dim>323082</dim>
400
+ </port>
401
+ </output>
402
+ </layer>
403
+ <layer id="30" name="StringTensorUnpack_11739" type="StringTensorUnpack" version="extension">
404
+ <data mode="begins_ends" />
405
+ <input>
406
+ <port id="0" precision="U8">
407
+ <dim>323082</dim>
408
+ </port>
409
+ </input>
410
+ <output>
411
+ <port id="1" precision="I32">
412
+ <dim>-1</dim>
413
+ </port>
414
+ <port id="2" precision="I32">
415
+ <dim>-1</dim>
416
+ </port>
417
+ <port id="3" precision="U8">
418
+ <dim>-1</dim>
419
+ </port>
420
+ </output>
421
+ </layer>
422
+ <layer id="31" name="Constant_11740" type="Const" version="opset1">
423
+ <data element_type="i32" shape="" offset="323353" size="4" />
424
+ <output>
425
+ <port id="0" precision="I32" />
426
+ </output>
427
+ </layer>
428
+ <layer id="32" name="WordpieceTokenizer_11741" type="WordpieceTokenizer" version="extension">
429
+ <data suffix_indicator="##" max_bytes_per_word="100" />
430
+ <input>
431
+ <port id="0" precision="I32">
432
+ <dim>-1</dim>
433
+ </port>
434
+ <port id="1" precision="I32">
435
+ <dim>-1</dim>
436
+ </port>
437
+ <port id="2" precision="I32">
438
+ <dim>-1</dim>
439
+ </port>
440
+ <port id="3" precision="I32">
441
+ <dim>-1</dim>
442
+ </port>
443
+ <port id="4" precision="U8">
444
+ <dim>-1</dim>
445
+ </port>
446
+ <port id="5" precision="I32">
447
+ <dim>-1</dim>
448
+ </port>
449
+ <port id="6" precision="I32">
450
+ <dim>-1</dim>
451
+ </port>
452
+ <port id="7" precision="U8">
453
+ <dim>-1</dim>
454
+ </port>
455
+ <port id="8" precision="I32" />
456
+ </input>
457
+ <output>
458
+ <port id="9" precision="I32">
459
+ <dim>-1</dim>
460
+ </port>
461
+ <port id="10" precision="I32">
462
+ <dim>-1</dim>
463
+ </port>
464
+ <port id="11" precision="I32">
465
+ <dim>-1</dim>
466
+ </port>
467
+ </output>
468
+ </layer>
469
+ <layer id="33" name="Subtract_11742" type="Subtract" version="opset1">
470
+ <data auto_broadcast="numpy" />
471
+ <input>
472
+ <port id="0" precision="I32">
473
+ <dim>-1</dim>
474
+ </port>
475
+ <port id="1" precision="I32">
476
+ <dim>-1</dim>
477
+ </port>
478
+ </input>
479
+ <output>
480
+ <port id="2" precision="I32">
481
+ <dim>-1</dim>
482
+ </port>
483
+ </output>
484
+ </layer>
485
+ <layer id="34" name="Constant_11743" type="Const" version="opset1">
486
+ <data element_type="i32" shape="" offset="323357" size="4" />
487
+ <output>
488
+ <port id="0" precision="I32" />
489
+ </output>
490
+ </layer>
491
+ <layer id="35" name="Minimum_11744" type="Minimum" version="opset1">
492
+ <data auto_broadcast="numpy" />
493
+ <input>
494
+ <port id="0" precision="I32">
495
+ <dim>-1</dim>
496
+ </port>
497
+ <port id="1" precision="I32" />
498
+ </input>
499
+ <output>
500
+ <port id="2" precision="I32">
501
+ <dim>-1</dim>
502
+ </port>
503
+ </output>
504
+ </layer>
505
+ <layer id="36" name="Add_11745" type="Add" version="opset1">
506
+ <data auto_broadcast="numpy" />
507
+ <input>
508
+ <port id="0" precision="I32">
509
+ <dim>-1</dim>
510
+ </port>
511
+ <port id="1" precision="I32">
512
+ <dim>-1</dim>
513
+ </port>
514
+ </input>
515
+ <output>
516
+ <port id="2" precision="I32">
517
+ <dim>-1</dim>
518
+ </port>
519
+ </output>
520
+ </layer>
521
+ <layer id="37" name="Constant_11749" type="Const" version="opset1">
522
+ <data element_type="i32" shape="" offset="0" size="4" />
523
+ <output>
524
+ <port id="0" precision="I32" />
525
+ </output>
526
+ </layer>
527
+ <layer id="38" name="Constant_11750" type="Const" version="opset1">
528
+ <data element_type="i32" shape="" offset="4" size="4" />
529
+ <output>
530
+ <port id="0" precision="I32" />
531
+ </output>
532
+ </layer>
533
+ <layer id="39" name="Constant_11751" type="Const" version="opset1">
534
+ <data element_type="i32" shape="1" offset="323361" size="4" />
535
+ <output>
536
+ <port id="0" precision="I32">
537
+ <dim>1</dim>
538
+ </port>
539
+ </output>
540
+ </layer>
541
+ <layer id="40" name="Constant_11752" type="Const" version="opset1">
542
+ <data element_type="i32" shape="3" offset="323365" size="12" />
543
+ <output>
544
+ <port id="0" precision="I32">
545
+ <dim>3</dim>
546
+ </port>
547
+ </output>
548
+ </layer>
549
+ <layer id="41" name="CombineSegments_11753" type="CombineSegments" version="extension">
550
+ <input>
551
+ <port id="0" precision="I32" />
552
+ <port id="1" precision="I32" />
553
+ <port id="2" precision="I32">
554
+ <dim>1</dim>
555
+ </port>
556
+ <port id="3" precision="I32">
557
+ <dim>-1</dim>
558
+ </port>
559
+ <port id="4" precision="I32">
560
+ <dim>-1</dim>
561
+ </port>
562
+ <port id="5" precision="I32">
563
+ <dim>-1</dim>
564
+ </port>
565
+ <port id="6" precision="I32" />
566
+ <port id="7" precision="I32" />
567
+ <port id="8" precision="I32">
568
+ <dim>1</dim>
569
+ </port>
570
+ <port id="9" precision="I32">
571
+ <dim>3</dim>
572
+ </port>
573
+ </input>
574
+ <output>
575
+ <port id="10" precision="I32">
576
+ <dim>-1</dim>
577
+ </port>
578
+ <port id="11" precision="I32">
579
+ <dim>-1</dim>
580
+ </port>
581
+ <port id="12" precision="I32">
582
+ <dim>-1</dim>
583
+ </port>
584
+ <port id="13" precision="I32">
585
+ <dim>-1</dim>
586
+ </port>
587
+ <port id="14" precision="I32">
588
+ <dim>-1</dim>
589
+ </port>
590
+ <port id="15" precision="I32">
591
+ <dim>-1</dim>
592
+ </port>
593
+ </output>
594
+ </layer>
595
+ <layer id="42" name="Subtract_11754" type="Subtract" version="opset1">
596
+ <data auto_broadcast="numpy" />
597
+ <input>
598
+ <port id="0" precision="I32">
599
+ <dim>-1</dim>
600
+ </port>
601
+ <port id="1" precision="I32">
602
+ <dim>-1</dim>
603
+ </port>
604
+ </input>
605
+ <output>
606
+ <port id="2" precision="I32">
607
+ <dim>-1</dim>
608
+ </port>
609
+ </output>
610
+ </layer>
611
+ <layer id="43" name="Constant_11755" type="Const" version="opset1">
612
+ <data element_type="i32" shape="" offset="0" size="4" />
613
+ <output>
614
+ <port id="0" precision="I32" />
615
+ </output>
616
+ </layer>
617
+ <layer id="44" name="ReduceMax_11756" type="ReduceMax" version="opset1">
618
+ <data keep_dims="false" />
619
+ <input>
620
+ <port id="0" precision="I32">
621
+ <dim>-1</dim>
622
+ </port>
623
+ <port id="1" precision="I32" />
624
+ </input>
625
+ <output>
626
+ <port id="2" precision="I32" />
627
+ </output>
628
+ </layer>
629
+ <layer id="45" name="Constant_11757" type="Const" version="opset1">
630
+ <data element_type="i32" shape="" offset="0" size="4" />
631
+ <output>
632
+ <port id="0" precision="I32" />
633
+ </output>
634
+ </layer>
635
+ <layer id="46" name="RaggedToDense_11758" type="RaggedToDense" version="extension">
636
+ <data pad_right="true" />
637
+ <input>
638
+ <port id="0" precision="I32">
639
+ <dim>-1</dim>
640
+ </port>
641
+ <port id="1" precision="I32">
642
+ <dim>-1</dim>
643
+ </port>
644
+ <port id="2" precision="I32">
645
+ <dim>-1</dim>
646
+ </port>
647
+ <port id="3" precision="I32" />
648
+ <port id="4" precision="I32" />
649
+ </input>
650
+ <output>
651
+ <port id="5" precision="I32">
652
+ <dim>-1</dim>
653
+ <dim>-1</dim>
654
+ </port>
655
+ <port id="6" precision="BOOL">
656
+ <dim>-1</dim>
657
+ <dim>-1</dim>
658
+ </port>
659
+ </output>
660
+ </layer>
661
+ <layer id="47" name="Convert_11759" type="Convert" version="opset1">
662
+ <data destination_type="i32" />
663
+ <input>
664
+ <port id="0" precision="BOOL">
665
+ <dim>-1</dim>
666
+ <dim>-1</dim>
667
+ </port>
668
+ </input>
669
+ <output>
670
+ <port id="1" precision="I32">
671
+ <dim>-1</dim>
672
+ <dim>-1</dim>
673
+ </port>
674
+ </output>
675
+ </layer>
676
+ <layer id="48" name="Convert_11759" type="Convert" version="opset1">
677
+ <data destination_type="i64" />
678
+ <input>
679
+ <port id="0" precision="I32">
680
+ <dim>-1</dim>
681
+ <dim>-1</dim>
682
+ </port>
683
+ </input>
684
+ <output>
685
+ <port id="1" precision="I64" names="attention_mask">
686
+ <dim>-1</dim>
687
+ <dim>-1</dim>
688
+ </port>
689
+ </output>
690
+ </layer>
691
+ <layer id="50" name="Constant_11760" type="Const" version="opset1">
692
+ <data element_type="i32" shape="" offset="0" size="4" />
693
+ <output>
694
+ <port id="0" precision="I32" />
695
+ </output>
696
+ </layer>
697
+ <layer id="51" name="RaggedToDense_11761" type="RaggedToDense" version="extension">
698
+ <data pad_right="true" />
699
+ <input>
700
+ <port id="0" precision="I32">
701
+ <dim>-1</dim>
702
+ </port>
703
+ <port id="1" precision="I32">
704
+ <dim>-1</dim>
705
+ </port>
706
+ <port id="2" precision="I32">
707
+ <dim>-1</dim>
708
+ </port>
709
+ <port id="3" precision="I32" />
710
+ <port id="4" precision="I32" />
711
+ </input>
712
+ <output>
713
+ <port id="5" precision="I32">
714
+ <dim>-1</dim>
715
+ <dim>-1</dim>
716
+ </port>
717
+ <port id="6" precision="BOOL">
718
+ <dim>-1</dim>
719
+ <dim>-1</dim>
720
+ </port>
721
+ </output>
722
+ </layer>
723
+ <layer id="52" name="RaggedToDense_11761.0" type="Convert" version="opset1">
724
+ <data destination_type="i64" />
725
+ <input>
726
+ <port id="0" precision="I32">
727
+ <dim>-1</dim>
728
+ <dim>-1</dim>
729
+ </port>
730
+ </input>
731
+ <output>
732
+ <port id="1" precision="I64" names="token_type_ids">
733
+ <dim>-1</dim>
734
+ <dim>-1</dim>
735
+ </port>
736
+ </output>
737
+ </layer>
738
+ <layer id="54" name="RaggedToDense_11758.0" type="Convert" version="opset1">
739
+ <data destination_type="i64" />
740
+ <input>
741
+ <port id="0" precision="I32">
742
+ <dim>-1</dim>
743
+ <dim>-1</dim>
744
+ </port>
745
+ </input>
746
+ <output>
747
+ <port id="1" precision="I64" names="input_ids">
748
+ <dim>-1</dim>
749
+ <dim>-1</dim>
750
+ </port>
751
+ </output>
752
+ </layer>
753
+ <layer id="55" name="Result_11762" type="Result" version="opset1">
754
+ <input>
755
+ <port id="0" precision="I64">
756
+ <dim>-1</dim>
757
+ <dim>-1</dim>
758
+ </port>
759
+ </input>
760
+ </layer>
761
+ <layer id="53" name="Result_11763" type="Result" version="opset1">
762
+ <input>
763
+ <port id="0" precision="I64">
764
+ <dim>-1</dim>
765
+ <dim>-1</dim>
766
+ </port>
767
+ </input>
768
+ </layer>
769
+ <layer id="49" name="Result_11764" type="Result" version="opset1">
770
+ <input>
771
+ <port id="0" precision="I64">
772
+ <dim>-1</dim>
773
+ <dim>-1</dim>
774
+ </port>
775
+ </input>
776
+ </layer>
777
+ </layers>
778
+ <edges>
779
+ <edge from-layer="0" from-port="0" to-layer="5" to-port="0" />
780
+ <edge from-layer="1" from-port="0" to-layer="41" to-port="0" />
781
+ <edge from-layer="2" from-port="0" to-layer="41" to-port="1" />
782
+ <edge from-layer="3" from-port="0" to-layer="41" to-port="2" />
783
+ <edge from-layer="4" from-port="0" to-layer="19" to-port="0" />
784
+ <edge from-layer="5" from-port="1" to-layer="8" to-port="0" />
785
+ <edge from-layer="5" from-port="2" to-layer="8" to-port="1" />
786
+ <edge from-layer="5" from-port="3" to-layer="8" to-port="2" />
787
+ <edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
788
+ <edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
789
+ <edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
790
+ <edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
791
+ <edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
792
+ <edge from-layer="9" from-port="3" to-layer="12" to-port="0" />
793
+ <edge from-layer="9" from-port="4" to-layer="12" to-port="1" />
794
+ <edge from-layer="9" from-port="5" to-layer="12" to-port="2" />
795
+ <edge from-layer="10" from-port="0" to-layer="12" to-port="3" />
796
+ <edge from-layer="11" from-port="0" to-layer="12" to-port="4" />
797
+ <edge from-layer="12" from-port="5" to-layer="13" to-port="0" />
798
+ <edge from-layer="12" from-port="6" to-layer="13" to-port="1" />
799
+ <edge from-layer="12" from-port="7" to-layer="13" to-port="2" />
800
+ <edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
801
+ <edge from-layer="13" from-port="5" to-layer="26" to-port="4" />
802
+ <edge from-layer="13" from-port="3" to-layer="26" to-port="2" />
803
+ <edge from-layer="13" from-port="4" to-layer="26" to-port="3" />
804
+ <edge from-layer="14" from-port="1" to-layer="17" to-port="0" />
805
+ <edge from-layer="15" from-port="0" to-layer="17" to-port="1" />
806
+ <edge from-layer="16" from-port="0" to-layer="17" to-port="2" />
807
+ <edge from-layer="17" from-port="3" to-layer="22" to-port="0" />
808
+ <edge from-layer="17" from-port="3" to-layer="19" to-port="1" />
809
+ <edge from-layer="18" from-port="0" to-layer="19" to-port="2" />
810
+ <edge from-layer="19" from-port="3" to-layer="26" to-port="0" />
811
+ <edge from-layer="20" from-port="0" to-layer="24" to-port="0" />
812
+ <edge from-layer="21" from-port="0" to-layer="22" to-port="1" />
813
+ <edge from-layer="22" from-port="2" to-layer="24" to-port="1" />
814
+ <edge from-layer="23" from-port="0" to-layer="24" to-port="2" />
815
+ <edge from-layer="24" from-port="3" to-layer="26" to-port="1" />
816
+ <edge from-layer="25" from-port="0" to-layer="26" to-port="5" />
817
+ <edge from-layer="26" from-port="6" to-layer="28" to-port="0" />
818
+ <edge from-layer="26" from-port="7" to-layer="28" to-port="1" />
819
+ <edge from-layer="26" from-port="8" to-layer="28" to-port="2" />
820
+ <edge from-layer="26" from-port="10" to-layer="28" to-port="4" />
821
+ <edge from-layer="26" from-port="9" to-layer="28" to-port="3" />
822
+ <edge from-layer="27" from-port="0" to-layer="28" to-port="5" />
823
+ <edge from-layer="28" from-port="8" to-layer="32" to-port="2" />
824
+ <edge from-layer="28" from-port="9" to-layer="32" to-port="3" />
825
+ <edge from-layer="28" from-port="10" to-layer="32" to-port="4" />
826
+ <edge from-layer="28" from-port="6" to-layer="32" to-port="0" />
827
+ <edge from-layer="28" from-port="7" to-layer="32" to-port="1" />
828
+ <edge from-layer="29" from-port="0" to-layer="30" to-port="0" />
829
+ <edge from-layer="30" from-port="3" to-layer="32" to-port="7" />
830
+ <edge from-layer="30" from-port="1" to-layer="32" to-port="5" />
831
+ <edge from-layer="30" from-port="2" to-layer="32" to-port="6" />
832
+ <edge from-layer="31" from-port="0" to-layer="32" to-port="8" />
833
+ <edge from-layer="32" from-port="10" to-layer="33" to-port="0" />
834
+ <edge from-layer="32" from-port="9" to-layer="33" to-port="1" />
835
+ <edge from-layer="32" from-port="9" to-layer="36" to-port="0" />
836
+ <edge from-layer="32" from-port="9" to-layer="41" to-port="3" />
837
+ <edge from-layer="32" from-port="11" to-layer="41" to-port="5" />
838
+ <edge from-layer="33" from-port="2" to-layer="35" to-port="0" />
839
+ <edge from-layer="34" from-port="0" to-layer="35" to-port="1" />
840
+ <edge from-layer="35" from-port="2" to-layer="36" to-port="1" />
841
+ <edge from-layer="36" from-port="2" to-layer="41" to-port="4" />
842
+ <edge from-layer="37" from-port="0" to-layer="41" to-port="6" />
843
+ <edge from-layer="38" from-port="0" to-layer="41" to-port="7" />
844
+ <edge from-layer="39" from-port="0" to-layer="41" to-port="8" />
845
+ <edge from-layer="40" from-port="0" to-layer="41" to-port="9" />
846
+ <edge from-layer="41" from-port="11" to-layer="42" to-port="0" />
847
+ <edge from-layer="41" from-port="10" to-layer="42" to-port="1" />
848
+ <edge from-layer="41" from-port="10" to-layer="46" to-port="0" />
849
+ <edge from-layer="41" from-port="11" to-layer="46" to-port="1" />
850
+ <edge from-layer="41" from-port="12" to-layer="46" to-port="2" />
851
+ <edge from-layer="41" from-port="13" to-layer="51" to-port="0" />
852
+ <edge from-layer="41" from-port="14" to-layer="51" to-port="1" />
853
+ <edge from-layer="41" from-port="15" to-layer="51" to-port="2" />
854
+ <edge from-layer="42" from-port="2" to-layer="44" to-port="0" />
855
+ <edge from-layer="43" from-port="0" to-layer="44" to-port="1" />
856
+ <edge from-layer="44" from-port="2" to-layer="46" to-port="3" />
857
+ <edge from-layer="44" from-port="2" to-layer="51" to-port="3" />
858
+ <edge from-layer="45" from-port="0" to-layer="46" to-port="4" />
859
+ <edge from-layer="46" from-port="6" to-layer="47" to-port="0" />
860
+ <edge from-layer="46" from-port="5" to-layer="54" to-port="0" />
861
+ <edge from-layer="47" from-port="1" to-layer="48" to-port="0" />
862
+ <edge from-layer="48" from-port="1" to-layer="49" to-port="0" />
863
+ <edge from-layer="50" from-port="0" to-layer="51" to-port="4" />
864
+ <edge from-layer="51" from-port="5" to-layer="52" to-port="0" />
865
+ <edge from-layer="52" from-port="1" to-layer="53" to-port="0" />
866
+ <edge from-layer="54" from-port="1" to-layer="55" to-port="0" />
867
+ </edges>
868
+ <rt_info>
869
+ <chat_template value="{% for message in messages %}{{'&lt;|im_start|>' + message['role'] + '&#10;' + message['content'] + '&lt;|im_end|>' + '&#10;'}}{% endfor %}{% if add_generation_prompt %}{{ '&lt;|im_start|>assistant&#10;' }}{% endif %}" />
870
+ <original_tokenizer_class value="&lt;class 'transformers.models.bert.tokenization_bert_fast.BertTokenizerFast'>" />
871
+ <pad_token_id value="0" />
872
+ </rt_info>
873
+ </net>
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "max_length": 75,
49
+ "model_max_length": 1000000000000000019884624838656,
50
+ "pad_to_multiple_of": null,
51
+ "pad_token": "[PAD]",
52
+ "pad_token_type_id": 0,
53
+ "padding_side": "right",
54
+ "sep_token": "[SEP]",
55
+ "stride": 0,
56
+ "strip_accents": null,
57
+ "tokenize_chinese_chars": true,
58
+ "tokenizer_class": "BertTokenizer",
59
+ "truncation_side": "right",
60
+ "truncation_strategy": "longest_first",
61
+ "unk_token": "[UNK]"
62
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff