Upload tokenizer
Browse files- README.md +199 -0
- merges.txt +768 -0
- special_tokens_map.json +23 -0
- tokenizer_config.json +22 -0
- vocab.json +1026 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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merges.txt
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@@ -0,0 +1,768 @@
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473 |
+
Ġb ak
|
474 |
+
Ġv ar
|
475 |
+
erk ez
|
476 |
+
Ġdev let
|
477 |
+
Ġo f
|
478 |
+
m et
|
479 |
+
Ġk r
|
480 |
+
el i
|
481 |
+
ö z
|
482 |
+
l ü
|
483 |
+
am p
|
484 |
+
Ġkur ul
|
485 |
+
Ġy ak
|
486 |
+
ĠdoÄŁ umlu
|
487 |
+
ler in
|
488 |
+
Ġc h
|
489 |
+
Ġböl g
|
490 |
+
r en
|
491 |
+
Ġy eni
|
492 |
+
Ġm erkez
|
493 |
+
n a
|
494 |
+
k in
|
495 |
+
d ü
|
496 |
+
Ġ19 8
|
497 |
+
Ġ ün
|
498 |
+
t al
|
499 |
+
ıl dı
|
500 |
+
Ġu y
|
501 |
+
c ol
|
502 |
+
o b
|
503 |
+
r ans
|
504 |
+
a de
|
505 |
+
Ġal t
|
506 |
+
ç e
|
507 |
+
Ġd en
|
508 |
+
Ġar asında
|
509 |
+
la dı
|
510 |
+
Ġ ev
|
511 |
+
un un
|
512 |
+
y le
|
513 |
+
il i
|
514 |
+
Ġve ya
|
515 |
+
alar ı
|
516 |
+
Ġ 5
|
517 |
+
Ġk om
|
518 |
+
ey e
|
519 |
+
Ġsav aÅŁ
|
520 |
+
Ġkad ar
|
521 |
+
es inde
|
522 |
+
ist an
|
523 |
+
ü f
|
524 |
+
ĠbaÅŁ k
|
525 |
+
d er
|
526 |
+
Ġam erik
|
527 |
+
r af
|
528 |
+
Ġy ük
|
529 |
+
Ġçal Ä±ÅŁ
|
530 |
+
o z
|
531 |
+
Ġs eç
|
532 |
+
d ül
|
533 |
+
as yon
|
534 |
+
Ġ| |
|
535 |
+
Ġyön et
|
536 |
+
Ġm üz
|
537 |
+
us t
|
538 |
+
Ġh er
|
539 |
+
ıl ı
|
540 |
+
li ÄŁi
|
541 |
+
Ġa ÄŁ
|
542 |
+
Ġ er
|
543 |
+
im i
|
544 |
+
m iÅŁtir
|
545 |
+
iy at
|
546 |
+
aģ ı
|
547 |
+
h an
|
548 |
+
iv ers
|
549 |
+
u y
|
550 |
+
u v
|
551 |
+
Ġol m
|
552 |
+
Ġdön em
|
553 |
+
i a
|
554 |
+
ĠÅŁark ı
|
555 |
+
Ġd er
|
556 |
+
Ġ le
|
557 |
+
Ġin s
|
558 |
+
st er
|
559 |
+
Ġm ah
|
560 |
+
Ġ19 7
|
561 |
+
o j
|
562 |
+
Ġh ay
|
563 |
+
Ġal an
|
564 |
+
Ġsah ip
|
565 |
+
r am
|
566 |
+
le ft
|
567 |
+
n gil
|
568 |
+
i on
|
569 |
+
Ġal b
|
570 |
+
Ġs er
|
571 |
+
an lı
|
572 |
+
rı ca
|
573 |
+
Ġgen el
|
574 |
+
t ar
|
575 |
+
ç i
|
576 |
+
19 9
|
577 |
+
Ġi ki
|
578 |
+
ivers it
|
579 |
+
st an
|
580 |
+
g ro
|
581 |
+
y i
|
582 |
+
Ġg ir
|
583 |
+
Ġcol span
|
584 |
+
o w
|
585 |
+
il eri
|
586 |
+
Ġb as
|
587 |
+
col or
|
588 |
+
Ġz aman
|
589 |
+
Ġpar t
|
590 |
+
b ack
|
591 |
+
ar ak
|
592 |
+
m i
|
593 |
+
lar ında
|
594 |
+
Ġbir lik
|
595 |
+
p or
|
596 |
+
y ıl
|
597 |
+
Ġ ey
|
598 |
+
ü c
|
599 |
+
gro und
|
600 |
+
Ġd üz
|
601 |
+
Ġk öy
|
602 |
+
Ġ 6
|
603 |
+
back ground
|
604 |
+
Ġgör e
|
605 |
+
Ġöz el
|
606 |
+
Ġyay ın
|
607 |
+
u h
|
608 |
+
Ġgör ev
|
609 |
+
at ı
|
610 |
+
1 8
|
611 |
+
y an
|
612 |
+
Ġk iÅŁ
|
613 |
+
m ektedir
|
614 |
+
Ġö dül
|
615 |
+
d ur
|
616 |
+
ar a
|
617 |
+
ĠdoÄŁumlu lar
|
618 |
+
Ġa b
|
619 |
+
b ul
|
620 |
+
Ġa dı
|
621 |
+
Ġk or
|
622 |
+
Ġ ayn
|
623 |
+
Ġs aÄŁ
|
624 |
+
Ġk ap
|
625 |
+
Ġan cak
|
626 |
+
Ġkaz an
|
627 |
+
Ġy ol
|
628 |
+
ın daki
|
629 |
+
Ġdün ya
|
630 |
+
lar da
|
631 |
+
Ġö ÄŁ
|
632 |
+
m ek
|
633 |
+
s a
|
634 |
+
k et
|
635 |
+
un a
|
636 |
+
iy as
|
637 |
+
an d
|
638 |
+
Ġa z
|
639 |
+
ol oj
|
640 |
+
Ġd iÄŁ
|
641 |
+
ĠÅŁ ek
|
642 |
+
Ġd Ã¼ÅŁ
|
643 |
+
Ġoyun cu
|
644 |
+
Ġor t
|
645 |
+
Ġün iversit
|
646 |
+
e de
|
647 |
+
Ġ19 6
|
648 |
+
Ġh ak
|
649 |
+
Ġk an
|
650 |
+
Ġyüz yıl
|
651 |
+
ç ek
|
652 |
+
Ġgö ster
|
653 |
+
Ġo k
|
654 |
+
Ġs ez
|
655 |
+
m iÅŁ
|
656 |
+
ĠdiÄŁ er
|
657 |
+
Ġalb üm
|
658 |
+
Ġtürk iye
|
659 |
+
: #
|
660 |
+
Ġr es
|
661 |
+
Ġ ül
|
662 |
+
Ġ ür
|
663 |
+
p ar
|
664 |
+
b ir
|
665 |
+
en t
|
666 |
+
Ġi st
|
667 |
+
Ġoldu ÄŁu
|
668 |
+
Ġet ti
|
669 |
+
t ürk
|
670 |
+
Ġd iz
|
671 |
+
Ġd ur
|
672 |
+
à ©
|
673 |
+
Ġm ad
|
674 |
+
Ġayn ı
|
675 |
+
g e
|
676 |
+
lar a
|
677 |
+
stan bul
|
678 |
+
Ġk ay
|
679 |
+
Ġt ür
|
680 |
+
Ġkad ın
|
681 |
+
am a
|
682 |
+
Ġ üç
|
683 |
+
Ġe ÄŁ
|
684 |
+
le y
|
685 |
+
Ġr om
|
686 |
+
Ġh az
|
687 |
+
Ġ 7
|
688 |
+
Ġt am
|
689 |
+
Ġböl üm
|
690 |
+
s i
|
691 |
+
Ġsez on
|
692 |
+
Ġson u
|
693 |
+
ilm iÅŁtir
|
694 |
+
ü p
|
695 |
+
ar d
|
696 |
+
Ġç ek
|
697 |
+
Ġs al
|
698 |
+
Ġf or
|
699 |
+
Ġil ç
|
700 |
+
ed i
|
701 |
+
r up
|
702 |
+
al ık
|
703 |
+
as t
|
704 |
+
h ur
|
705 |
+
lar ını
|
706 |
+
r et
|
707 |
+
ĠĠ ĠĠ
|
708 |
+
Ġt ur
|
709 |
+
ler ini
|
710 |
+
er ek
|
711 |
+
Ġk ıs
|
712 |
+
y e
|
713 |
+
az ı
|
714 |
+
ĠâĢ ĵ
|
715 |
+
Ġn e
|
716 |
+
Ġk ab
|
717 |
+
Ġm et
|
718 |
+
i ç
|
719 |
+
n de
|
720 |
+
o c
|
721 |
+
v an
|
722 |
+
ün de
|
723 |
+
Ġbel ir
|
724 |
+
s e
|
725 |
+
Ġ %
|
726 |
+
Ġan d
|
727 |
+
Ġ erk
|
728 |
+
Ġs u
|
729 |
+
Ġst yle
|
730 |
+
Ġt aÅŁ
|
731 |
+
l at
|
732 |
+
Ġul us
|
733 |
+
Ġy an
|
734 |
+
Ġn eden
|
735 |
+
s on
|
736 |
+
ü st
|
737 |
+
Ġbulun an
|
738 |
+
Ġb oy
|
739 |
+
Ġm aç
|
740 |
+
m aya
|
741 |
+
Ġp ol
|
742 |
+
al l
|
743 |
+
ĠĊ Ċ
|
744 |
+
Ġbirlik te
|
745 |
+
Ġ üy
|
746 |
+
Ġt el
|
747 |
+
Ġpart isi
|
748 |
+
Ġk ö
|
749 |
+
Ġtarih inde
|
750 |
+
in al
|
751 |
+
Ġbir leÅŁ
|
752 |
+
amp iyon
|
753 |
+
um hur
|
754 |
+
k m
|
755 |
+
ĠkarÅŁ ı
|
756 |
+
an t
|
757 |
+
h t
|
758 |
+
Ġ 8
|
759 |
+
Ġo s
|
760 |
+
ül t
|
761 |
+
n da
|
762 |
+
ngil iz
|
763 |
+
li ÄŁ
|
764 |
+
Ġö r
|
765 |
+
Ġyap tı
|
766 |
+
Ġa ÅŁ
|
767 |
+
Ġül k
|
768 |
+
lu k
|
special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|endoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|endoftext|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<|endoftext|>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
}
|
23 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
}
|
13 |
+
},
|
14 |
+
"bos_token": "<|endoftext|>",
|
15 |
+
"clean_up_tokenization_spaces": true,
|
16 |
+
"eos_token": "<|endoftext|>",
|
17 |
+
"errors": "replace",
|
18 |
+
"model_max_length": 1024,
|
19 |
+
"pad_token": null,
|
20 |
+
"tokenizer_class": "GPT2Tokenizer",
|
21 |
+
"unk_token": "<|endoftext|>"
|
22 |
+
}
|
vocab.json
ADDED
@@ -0,0 +1,1026 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
|
|
|
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|
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|
|
|
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|
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|
|
|
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