AlexKoff88 commited on
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ccb4728
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Upload openvino_tokenizer.xml with huggingface_hub

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  1. openvino_tokenizer.xml +49 -49
openvino_tokenizer.xml CHANGED
@@ -1,21 +1,21 @@
1
  <?xml version="1.0"?>
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  <net name="tokenizer" version="11">
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@@ -34,7 +34,7 @@
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@@ -47,19 +47,19 @@
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@@ -72,13 +72,13 @@
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@@ -91,19 +91,19 @@
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@@ -113,13 +113,13 @@
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@@ -132,7 +132,7 @@
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@@ -140,7 +140,7 @@
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@@ -182,7 +182,7 @@
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@@ -190,7 +190,7 @@
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@@ -198,7 +198,7 @@
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@@ -235,7 +235,7 @@
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@@ -243,7 +243,7 @@
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@@ -251,7 +251,7 @@
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@@ -288,7 +288,7 @@
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@@ -296,7 +296,7 @@
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@@ -315,7 +315,7 @@
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@@ -323,7 +323,7 @@
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@@ -342,7 +342,7 @@
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@@ -350,7 +350,7 @@
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@@ -369,7 +369,7 @@
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@@ -377,7 +377,7 @@
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@@ -396,7 +396,7 @@
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@@ -404,7 +404,7 @@
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@@ -474,7 +474,7 @@
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@@ -490,13 +490,13 @@
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@@ -510,7 +510,7 @@
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@@ -526,7 +526,7 @@
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@@ -534,7 +534,7 @@
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@@ -570,7 +570,7 @@
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@@ -586,13 +586,13 @@
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@@ -636,7 +636,7 @@
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@@ -651,7 +651,7 @@
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@@ -666,7 +666,7 @@
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@@ -681,7 +681,7 @@
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  </layer>
318
+ <layer id="24" name="Constant_301073" type="Const" version="opset1">
319
  <data element_type="u8" shape="499127" offset="339500" size="499127" />
320
  <output>
321
  <port id="0" precision="U8">
 
323
  </port>
324
  </output>
325
  </layer>
326
+ <layer id="25" name="StringTensorUnpack_301074" type="StringTensorUnpack" version="extension">
327
  <data mode="begins_ends" />
328
  <input>
329
  <port id="0" precision="U8">
 
342
  </port>
343
  </output>
344
  </layer>
345
+ <layer id="26" name="Constant_301076" type="Const" version="opset1">
346
  <data element_type="u8" shape="412810" offset="838627" size="412810" />
347
  <output>
348
  <port id="0" precision="U8">
 
350
  </port>
351
  </output>
352
  </layer>
353
+ <layer id="27" name="StringTensorUnpack_301077" type="StringTensorUnpack" version="extension">
354
  <data mode="begins_ends" />
355
  <input>
356
  <port id="0" precision="U8">
 
369
  </port>
370
  </output>
371
  </layer>
372
+ <layer id="28" name="Constant_301070" type="Const" version="opset1">
373
  <data element_type="u8" shape="8716" offset="1251437" size="8716" />
374
  <output>
375
  <port id="0" precision="U8">
 
377
  </port>
378
  </output>
379
  </layer>
380
+ <layer id="29" name="StringTensorUnpack_301071" type="StringTensorUnpack" version="extension">
381
  <data mode="begins_ends" />
382
  <input>
383
  <port id="0" precision="U8">
 
396
  </port>
397
  </output>
398
  </layer>
399
+ <layer id="30" name="Constant_301078" type="Const" version="opset1">
400
  <data element_type="i32" shape="475" offset="1260153" size="1900" />
401
  <output>
402
  <port id="0" precision="I32">
 
404
  </port>
405
  </output>
406
  </layer>
407
+ <layer id="31" name="BPETokenizer_301079" type="BPETokenizer" version="extension">
408
  <data unk_token="&lt;unk>" fuse_unk="true" suffix_indicator="" end_suffix="" byte_fallback="true" cache_capacity="20000" />
409
  <input>
410
  <port id="0" precision="I32">
 
474
  </port>
475
  </output>
476
  </layer>
477
+ <layer id="32" name="Subtract_301080" type="Subtract" version="opset1">
478
  <data auto_broadcast="numpy" />
479
  <input>
480
  <port id="0" precision="I32">
 
490
  </port>
491
  </output>
492
  </layer>
493
+ <layer id="33" name="Constant_301081" type="Const" version="opset1">
494
  <data element_type="i32" shape="" offset="1262053" size="4" />
495
  <output>
496
  <port id="0" precision="I32" />
497
  </output>
498
  </layer>
499
+ <layer id="34" name="Minimum_301082" type="Minimum" version="opset1">
500
  <data auto_broadcast="numpy" />
501
  <input>
502
  <port id="0" precision="I32">
 
510
  </port>
511
  </output>
512
  </layer>
513
+ <layer id="35" name="Add_301083" type="Add" version="opset1">
514
  <data auto_broadcast="numpy" />
515
  <input>
516
  <port id="0" precision="I32">
 
526
  </port>
527
  </output>
528
  </layer>
529
+ <layer id="36" name="Constant_301084" type="Const" version="opset1">
530
  <data element_type="i32" shape="1" offset="1262057" size="4" />
531
  <output>
532
  <port id="0" precision="I32">
 
534
  </port>
535
  </output>
536
  </layer>
537
+ <layer id="37" name="CombineSegments_301085" type="CombineSegments" version="extension">
538
  <input>
539
  <port id="0" precision="I32">
540
  <dim>-1</dim>
 
570
  </port>
571
  </output>
572
  </layer>
573
+ <layer id="38" name="Subtract_301086" type="Subtract" version="opset1">
574
  <data auto_broadcast="numpy" />
575
  <input>
576
  <port id="0" precision="I32">
 
586
  </port>
587
  </output>
588
  </layer>
589
+ <layer id="39" name="Constant_301087" type="Const" version="opset1">
590
  <data element_type="i32" shape="" offset="1262057" size="4" />
591
  <output>
592
  <port id="0" precision="I32" />
593
  </output>
594
  </layer>
595
+ <layer id="40" name="ReduceMax_301088" type="ReduceMax" version="opset1">
596
  <data keep_dims="false" />
597
  <input>
598
  <port id="0" precision="I32">
 
604
  <port id="2" precision="I32" />
605
  </output>
606
  </layer>
607
+ <layer id="41" name="Constant_301089" type="Const" version="opset1">
608
  <data element_type="i32" shape="" offset="1262061" size="4" />
609
  <output>
610
  <port id="0" precision="I32" />
611
  </output>
612
  </layer>
613
+ <layer id="42" name="RaggedToDense_301090" type="RaggedToDense" version="extension">
614
  <data pad_right="false" />
615
  <input>
616
  <port id="0" precision="I32">
 
636
  </port>
637
  </output>
638
  </layer>
639
+ <layer id="43" name="Convert_301091" type="Convert" version="opset1">
640
  <data destination_type="i32" />
641
  <input>
642
  <port id="0" precision="BOOL">
 
651
  </port>
652
  </output>
653
  </layer>
654
+ <layer id="44" name="Convert_301091" type="Convert" version="opset1">
655
  <data destination_type="i64" />
656
  <input>
657
  <port id="0" precision="I32">
 
666
  </port>
667
  </output>
668
  </layer>
669
+ <layer id="46" name="RaggedToDense_301090.0" type="Convert" version="opset1">
670
  <data destination_type="i64" />
671
  <input>
672
  <port id="0" precision="I32">
 
681
  </port>
682
  </output>
683
  </layer>
684
+ <layer id="47" name="Result_301094" type="Result" version="opset1">
685
  <input>
686
  <port id="0" precision="I64">
687
  <dim>-1</dim>
 
689
  </port>
690
  </input>
691
  </layer>
692
+ <layer id="45" name="Result_301096" type="Result" version="opset1">
693
  <input>
694
  <port id="0" precision="I64">
695
  <dim>-1</dim>