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Upload tokenizer

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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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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+
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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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+
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+ ### Model Sources [optional]
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+ <!-- Provide the basic links for the model. -->
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+
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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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+
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+ ## Uses
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+
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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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+
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+ ### Direct Use
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+
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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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+
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+ [More Information Needed]
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+
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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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+ ### Recommendations
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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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+ ### 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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+ #### 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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+ [More Information Needed]
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+
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+ #### Software
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+ [More Information Needed]
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+
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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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+
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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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739
+ "256089": {
740
+ "content": "__pt__",
741
+ "lstrip": false,
742
+ "normalized": false,
743
+ "rstrip": false,
744
+ "single_word": false,
745
+ "special": true
746
+ },
747
+ "256090": {
748
+ "content": "__qu__",
749
+ "lstrip": false,
750
+ "normalized": false,
751
+ "rstrip": false,
752
+ "single_word": false,
753
+ "special": true
754
+ },
755
+ "256091": {
756
+ "content": "__ro__",
757
+ "lstrip": false,
758
+ "normalized": false,
759
+ "rstrip": false,
760
+ "single_word": false,
761
+ "special": true
762
+ },
763
+ "256092": {
764
+ "content": "__ru__",
765
+ "lstrip": false,
766
+ "normalized": false,
767
+ "rstrip": false,
768
+ "single_word": false,
769
+ "special": true
770
+ },
771
+ "256093": {
772
+ "content": "__sd__",
773
+ "lstrip": false,
774
+ "normalized": false,
775
+ "rstrip": false,
776
+ "single_word": false,
777
+ "special": true
778
+ },
779
+ "256094": {
780
+ "content": "__shn__",
781
+ "lstrip": false,
782
+ "normalized": false,
783
+ "rstrip": false,
784
+ "single_word": false,
785
+ "special": true
786
+ },
787
+ "256095": {
788
+ "content": "__si__",
789
+ "lstrip": false,
790
+ "normalized": false,
791
+ "rstrip": false,
792
+ "single_word": false,
793
+ "special": true
794
+ },
795
+ "256096": {
796
+ "content": "__sk__",
797
+ "lstrip": false,
798
+ "normalized": false,
799
+ "rstrip": false,
800
+ "single_word": false,
801
+ "special": true
802
+ },
803
+ "256097": {
804
+ "content": "__sl__",
805
+ "lstrip": false,
806
+ "normalized": false,
807
+ "rstrip": false,
808
+ "single_word": false,
809
+ "special": true
810
+ },
811
+ "256098": {
812
+ "content": "__sn__",
813
+ "lstrip": false,
814
+ "normalized": false,
815
+ "rstrip": false,
816
+ "single_word": false,
817
+ "special": true
818
+ },
819
+ "256099": {
820
+ "content": "__so__",
821
+ "lstrip": false,
822
+ "normalized": false,
823
+ "rstrip": false,
824
+ "single_word": false,
825
+ "special": true
826
+ },
827
+ "256100": {
828
+ "content": "__sq__",
829
+ "lstrip": false,
830
+ "normalized": false,
831
+ "rstrip": false,
832
+ "single_word": false,
833
+ "special": true
834
+ },
835
+ "256101": {
836
+ "content": "__sr__",
837
+ "lstrip": false,
838
+ "normalized": false,
839
+ "rstrip": false,
840
+ "single_word": false,
841
+ "special": true
842
+ },
843
+ "256102": {
844
+ "content": "__ss__",
845
+ "lstrip": false,
846
+ "normalized": false,
847
+ "rstrip": false,
848
+ "single_word": false,
849
+ "special": true
850
+ },
851
+ "256103": {
852
+ "content": "__su__",
853
+ "lstrip": false,
854
+ "normalized": false,
855
+ "rstrip": false,
856
+ "single_word": false,
857
+ "special": true
858
+ },
859
+ "256104": {
860
+ "content": "__sv__",
861
+ "lstrip": false,
862
+ "normalized": false,
863
+ "rstrip": false,
864
+ "single_word": false,
865
+ "special": true
866
+ },
867
+ "256105": {
868
+ "content": "__sw__",
869
+ "lstrip": false,
870
+ "normalized": false,
871
+ "rstrip": false,
872
+ "single_word": false,
873
+ "special": true
874
+ },
875
+ "256106": {
876
+ "content": "__ta__",
877
+ "lstrip": false,
878
+ "normalized": false,
879
+ "rstrip": false,
880
+ "single_word": false,
881
+ "special": true
882
+ },
883
+ "256107": {
884
+ "content": "__te__",
885
+ "lstrip": false,
886
+ "normalized": false,
887
+ "rstrip": false,
888
+ "single_word": false,
889
+ "special": true
890
+ },
891
+ "256108": {
892
+ "content": "__tg__",
893
+ "lstrip": false,
894
+ "normalized": false,
895
+ "rstrip": false,
896
+ "single_word": false,
897
+ "special": true
898
+ },
899
+ "256109": {
900
+ "content": "__th__",
901
+ "lstrip": false,
902
+ "normalized": false,
903
+ "rstrip": false,
904
+ "single_word": false,
905
+ "special": true
906
+ },
907
+ "256110": {
908
+ "content": "__ti__",
909
+ "lstrip": false,
910
+ "normalized": false,
911
+ "rstrip": false,
912
+ "single_word": false,
913
+ "special": true
914
+ },
915
+ "256111": {
916
+ "content": "__tl__",
917
+ "lstrip": false,
918
+ "normalized": false,
919
+ "rstrip": false,
920
+ "single_word": false,
921
+ "special": true
922
+ },
923
+ "256112": {
924
+ "content": "__tn__",
925
+ "lstrip": false,
926
+ "normalized": false,
927
+ "rstrip": false,
928
+ "single_word": false,
929
+ "special": true
930
+ },
931
+ "256113": {
932
+ "content": "__tr__",
933
+ "lstrip": false,
934
+ "normalized": false,
935
+ "rstrip": false,
936
+ "single_word": false,
937
+ "special": true
938
+ },
939
+ "256114": {
940
+ "content": "__uk__",
941
+ "lstrip": false,
942
+ "normalized": false,
943
+ "rstrip": false,
944
+ "single_word": false,
945
+ "special": true
946
+ },
947
+ "256115": {
948
+ "content": "__umb__",
949
+ "lstrip": false,
950
+ "normalized": false,
951
+ "rstrip": false,
952
+ "single_word": false,
953
+ "special": true
954
+ },
955
+ "256116": {
956
+ "content": "__ur__",
957
+ "lstrip": false,
958
+ "normalized": false,
959
+ "rstrip": false,
960
+ "single_word": false,
961
+ "special": true
962
+ },
963
+ "256117": {
964
+ "content": "__uz__",
965
+ "lstrip": false,
966
+ "normalized": false,
967
+ "rstrip": false,
968
+ "single_word": false,
969
+ "special": true
970
+ },
971
+ "256118": {
972
+ "content": "__vi__",
973
+ "lstrip": false,
974
+ "normalized": false,
975
+ "rstrip": false,
976
+ "single_word": false,
977
+ "special": true
978
+ },
979
+ "256119": {
980
+ "content": "__wo__",
981
+ "lstrip": false,
982
+ "normalized": false,
983
+ "rstrip": false,
984
+ "single_word": false,
985
+ "special": true
986
+ },
987
+ "256120": {
988
+ "content": "__xh__",
989
+ "lstrip": false,
990
+ "normalized": false,
991
+ "rstrip": false,
992
+ "single_word": false,
993
+ "special": true
994
+ },
995
+ "256121": {
996
+ "content": "__yi__",
997
+ "lstrip": false,
998
+ "normalized": false,
999
+ "rstrip": false,
1000
+ "single_word": false,
1001
+ "special": true
1002
+ },
1003
+ "256122": {
1004
+ "content": "__yo__",
1005
+ "lstrip": false,
1006
+ "normalized": false,
1007
+ "rstrip": false,
1008
+ "single_word": false,
1009
+ "special": true
1010
+ },
1011
+ "256123": {
1012
+ "content": "__zh__",
1013
+ "lstrip": false,
1014
+ "normalized": false,
1015
+ "rstrip": false,
1016
+ "single_word": false,
1017
+ "special": true
1018
+ },
1019
+ "256124": {
1020
+ "content": "__zu__",
1021
+ "lstrip": false,
1022
+ "normalized": false,
1023
+ "rstrip": false,
1024
+ "single_word": false,
1025
+ "special": true
1026
+ }
1027
+ },
1028
+ "additional_special_tokens": [
1029
+ "__af__",
1030
+ "__am__",
1031
+ "__ar__",
1032
+ "__as__",
1033
+ "__ast__",
1034
+ "__ay__",
1035
+ "__az__",
1036
+ "__ba__",
1037
+ "__be__",
1038
+ "__bg__",
1039
+ "__bn__",
1040
+ "__br__",
1041
+ "__bs__",
1042
+ "__ca__",
1043
+ "__ceb__",
1044
+ "__cjk__",
1045
+ "__cs__",
1046
+ "__cy__",
1047
+ "__da__",
1048
+ "__de__",
1049
+ "__dyu__",
1050
+ "__el__",
1051
+ "__en__",
1052
+ "__es__",
1053
+ "__et__",
1054
+ "__fa__",
1055
+ "__ff__",
1056
+ "__fi__",
1057
+ "__fr__",
1058
+ "__fy__",
1059
+ "__ga__",
1060
+ "__gd__",
1061
+ "__gl__",
1062
+ "__gu__",
1063
+ "__ha__",
1064
+ "__he__",
1065
+ "__hi__",
1066
+ "__hr__",
1067
+ "__ht__",
1068
+ "__hu__",
1069
+ "__hy__",
1070
+ "__id__",
1071
+ "__ig__",
1072
+ "__ilo__",
1073
+ "__is__",
1074
+ "__it__",
1075
+ "__ja__",
1076
+ "__jv__",
1077
+ "__ka__",
1078
+ "__kac__",
1079
+ "__kam__",
1080
+ "__kea__",
1081
+ "__kg__",
1082
+ "__kk__",
1083
+ "__km__",
1084
+ "__kmb__",
1085
+ "__kmr__",
1086
+ "__kn__",
1087
+ "__ko__",
1088
+ "__ku__",
1089
+ "__ky__",
1090
+ "__lb__",
1091
+ "__lg__",
1092
+ "__ln__",
1093
+ "__lo__",
1094
+ "__lt__",
1095
+ "__luo__",
1096
+ "__lv__",
1097
+ "__mg__",
1098
+ "__mi__",
1099
+ "__mk__",
1100
+ "__ml__",
1101
+ "__mn__",
1102
+ "__mr__",
1103
+ "__ms__",
1104
+ "__mt__",
1105
+ "__my__",
1106
+ "__ne__",
1107
+ "__nl__",
1108
+ "__no__",
1109
+ "__ns__",
1110
+ "__ny__",
1111
+ "__oc__",
1112
+ "__om__",
1113
+ "__or__",
1114
+ "__pa__",
1115
+ "__pl__",
1116
+ "__ps__",
1117
+ "__pt__",
1118
+ "__qu__",
1119
+ "__ro__",
1120
+ "__ru__",
1121
+ "__sd__",
1122
+ "__shn__",
1123
+ "__si__",
1124
+ "__sk__",
1125
+ "__sl__",
1126
+ "__sn__",
1127
+ "__so__",
1128
+ "__sq__",
1129
+ "__sr__",
1130
+ "__ss__",
1131
+ "__su__",
1132
+ "__sv__",
1133
+ "__sw__",
1134
+ "__ta__",
1135
+ "__te__",
1136
+ "__tg__",
1137
+ "__th__",
1138
+ "__ti__",
1139
+ "__tl__",
1140
+ "__tn__",
1141
+ "__tr__",
1142
+ "__uk__",
1143
+ "__umb__",
1144
+ "__ur__",
1145
+ "__uz__",
1146
+ "__vi__",
1147
+ "__wo__",
1148
+ "__xh__",
1149
+ "__yi__",
1150
+ "__yo__",
1151
+ "__zh__",
1152
+ "__zu__"
1153
+ ],
1154
+ "bos_token": "<s>",
1155
+ "clean_up_tokenization_spaces": true,
1156
+ "eos_token": "</s>",
1157
+ "language_codes": "m2m100",
1158
+ "model_max_length": 1024,
1159
+ "num_madeup_words": 0,
1160
+ "pad_token": "<pad>",
1161
+ "sep_token": "</s>",
1162
+ "sp_model_kwargs": {},
1163
+ "src_lang": "en",
1164
+ "tgt_lang": null,
1165
+ "tokenizer_class": "M2M100Tokenizer",
1166
+ "unk_token": "<unk>"
1167
+ }
vocab.json ADDED
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