Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +7 -0
- tokenizer.json +1012 -0
- tokenizer_config.json +76 -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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special_tokens_map.json
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{
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"bos_token": "([bos])",
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"eos_token": "([eos])",
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"mask_token": "([mask])",
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"pad_token": "([pad])",
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"unk_token": "([unk])"
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}
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tokenizer.json
ADDED
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666 |
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|
667 |
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668 |
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|
669 |
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|
670 |
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|
671 |
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|
672 |
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|
673 |
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"Ï Ĥ",
|
674 |
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|
675 |
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"Ï ĥ",
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676 |
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677 |
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|
678 |
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679 |
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|
680 |
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|
681 |
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682 |
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|
683 |
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684 |
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|
685 |
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686 |
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687 |
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688 |
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689 |
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690 |
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691 |
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692 |
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693 |
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694 |
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695 |
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696 |
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697 |
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|
698 |
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|
699 |
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700 |
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701 |
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|
702 |
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703 |
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704 |
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705 |
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706 |
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707 |
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708 |
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709 |
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710 |
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711 |
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712 |
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|
713 |
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714 |
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715 |
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716 |
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717 |
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718 |
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719 |
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720 |
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721 |
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722 |
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723 |
+
"Ïģ ι",
|
724 |
+
"ÏĦ ο",
|
725 |
+
"ĠÎ Ń",
|
726 |
+
"ĠÎ ¸",
|
727 |
+
"ί ν",
|
728 |
+
"Ïī ν",
|
729 |
+
"ĠÏ Į",
|
730 |
+
"Î ²",
|
731 |
+
"Ġγ ια",
|
732 |
+
"οÏħ με",
|
733 |
+
"ÏĦ ι",
|
734 |
+
"ĠÎ ·",
|
735 |
+
"ĠÏĦη ν",
|
736 |
+
"ν α",
|
737 |
+
"ν ο",
|
738 |
+
"ĠÏĦ οÏħ",
|
739 |
+
"Ġα Ïħ",
|
740 |
+
"Ġ ,",
|
741 |
+
"Ġμ ε",
|
742 |
+
"Ġ .",
|
743 |
+
"ĠÏĢ Ïģ",
|
744 |
+
"ο λ",
|
745 |
+
"ÏĦ ικ",
|
746 |
+
"ĠÏĥ Ïħ",
|
747 |
+
"ε ÏĤ",
|
748 |
+
"Î ¾",
|
749 |
+
"Ġκ α",
|
750 |
+
"Ïħ Ïģ",
|
751 |
+
"ÏĢ ÏĮ",
|
752 |
+
"ο Ïį",
|
753 |
+
"ĠαÏħ ÏĦ",
|
754 |
+
"Ġθ α",
|
755 |
+
"Î ¶",
|
756 |
+
"ĠÏĦη ÏĤ",
|
757 |
+
"α ÏĤ",
|
758 |
+
"ο ι",
|
759 |
+
"ÎŃ ÏĤ",
|
760 |
+
"ÏĢ Î±",
|
761 |
+
"ĠÏ ħ",
|
762 |
+
"ε ί",
|
763 |
+
"ĠÎ »",
|
764 |
+
"Ïĥ ÏĦ",
|
765 |
+
"ĠÏĢ Ïģο",
|
766 |
+
"Ġε ίν",
|
767 |
+
"Ġείν αι",
|
768 |
+
"Ïĥ ει",
|
769 |
+
"ĠÏĢ Î¿Ïħ",
|
770 |
+
"ÏĦ αι",
|
771 |
+
"ĠÏĦ α",
|
772 |
+
"Ïģ ά",
|
773 |
+
"ĠÏ ĩ",
|
774 |
+
"λ ο",
|
775 |
+
"Ġε ÏĢ",
|
776 |
+
"οÏħ ν",
|
777 |
+
"ĠÏĢ Î¿Î»",
|
778 |
+
"Ġδ ε",
|
779 |
+
"ĠÎ ķ",
|
780 |
+
"ĠÎŃ Ïĩ",
|
781 |
+
"ÏĨ ο",
|
782 |
+
"Ïİ Î½",
|
783 |
+
"ĠÏĦ ι",
|
784 |
+
"ĠÏĥ ÏĦη",
|
785 |
+
"ĠÎ ²",
|
786 |
+
"ÏĦ ά",
|
787 |
+
"Ïģ ί",
|
788 |
+
"Ġα ν",
|
789 |
+
"ĠÏĢ Î±",
|
790 |
+
"Ġα ÏĢÏĮ",
|
791 |
+
"Ġ (",
|
792 |
+
"λ α",
|
793 |
+
"λ η",
|
794 |
+
"ι Ïĥ",
|
795 |
+
"Ïĩ α",
|
796 |
+
"ή ÏĤ",
|
797 |
+
"Ïģ γ",
|
798 |
+
"ι ο",
|
799 |
+
"ÎŃ ÏĢ",
|
800 |
+
"ĠÏĥ ε",
|
801 |
+
"ÏħÏģ Ïī",
|
802 |
+
"ĠÏĦ Ïīν",
|
803 |
+
"Ġε Ïħ",
|
804 |
+
"Ï Ĭ",
|
805 |
+
"μ ÎŃ",
|
806 |
+
"ĠÏĦι ÏĤ",
|
807 |
+
"ά ν",
|
808 |
+
"θ ε",
|
809 |
+
"ÏħÏģÏī ÏĢα",
|
810 |
+
"Ġδε ν",
|
811 |
+
"α Ïĥ",
|
812 |
+
"Ïģ ε",
|
813 |
+
"μ ο",
|
814 |
+
"λ ε",
|
815 |
+
"ĠÏħ ÏĢ",
|
816 |
+
"ĠÏ Ĩ",
|
817 |
+
"ĠÏĥ ÏĦο",
|
818 |
+
"ÏĬ κ",
|
819 |
+
"λ ά",
|
820 |
+
"ĠÏĥÏĦη ν",
|
821 |
+
"ĠÏĮ ÏĦι",
|
822 |
+
"οÏħ ÏĤ",
|
823 |
+
"Ïĥει ÏĤ",
|
824 |
+
"ÏħÏģÏīÏĢα ÏĬκ",
|
825 |
+
"ÎŃÏĢ ÎµÎ¹",
|
826 |
+
"ĠÎ ¬",
|
827 |
+
"Ïģ Ïĩ",
|
828 |
+
"Ïī ÏĤ",
|
829 |
+
"Ġα ÏĢο",
|
830 |
+
"Ïĥ οÏħμε",
|
831 |
+
"κ α",
|
832 |
+
"ĠÏĥÏħ ν",
|
833 |
+
"Ġμ αÏĤ",
|
834 |
+
"Ïĥη ÏĤ",
|
835 |
+
"Ī Î·",
|
836 |
+
"ĠαÏħÏĦ ÏĮ",
|
837 |
+
"Ġο ι",
|
838 |
+
"ĠÏĢÏģ ÎŃÏĢει",
|
839 |
+
"Ïģ ÏĮ",
|
840 |
+
"Ïĥ ε",
|
841 |
+
"ĠÏĦοÏħ ÏĤ",
|
842 |
+
"Ïĩα Ïģι",
|
843 |
+
"ία ÏĤ",
|
844 |
+
"Ġμ ÎŃ",
|
845 |
+
"ĠεÏħ ÏĩαÏģι",
|
846 |
+
"Ġε ί",
|
847 |
+
"ĠÏĢ Îµ",
|
848 |
+
"γ κ",
|
849 |
+
"ε ÏĦαι",
|
850 |
+
"ο ν",
|
851 |
+
"ĠÏĦο ν",
|
852 |
+
"Ġδ ια",
|
853 |
+
"N G",
|
854 |
+
"L NG",
|
855 |
+
"Ïĥ α",
|
856 |
+
"ÎŃ Ïģ",
|
857 |
+
"ÏĥÏĦ Ïİ",
|
858 |
+
"ĠÏĢÏģ ÏĮ",
|
859 |
+
"Ïĥ ÏĦε",
|
860 |
+
"Ġε ν",
|
861 |
+
"ĠÎķ ÏħÏģÏīÏĢαÏĬκ",
|
862 |
+
"ι ά",
|
863 |
+
"Ïģ η",
|
864 |
+
"ĠÏĢολ Ïį",
|
865 |
+
"ĠÎ ®",
|
866 |
+
"Ġθ ÎŃ",
|
867 |
+
"ÏĢ Îµ",
|
868 |
+
"ν Ïī",
|
869 |
+
"ÏĦ ή",
|
870 |
+
"μα ÏĦα",
|
871 |
+
"ÏĦικ ή",
|
872 |
+
"ĠÏĥ αÏĤ",
|
873 |
+
"ĠεÏħÏĩαÏģι ÏĥÏĦÏİ",
|
874 |
+
"ĠεÏĢ Î¹",
|
875 |
+
"Ġ ;",
|
876 |
+
"κ ε",
|
877 |
+
"ÏĦ ÏĮ",
|
878 |
+
"Ġκ ά",
|
879 |
+
"ĠÎŃ Î½Î±",
|
880 |
+
"Ġα λ",
|
881 |
+
"Ġμ ÏĢο",
|
882 |
+
"Ïį Ïģι",
|
883 |
+
"ν η",
|
884 |
+
"ĠÎ ļ",
|
885 |
+
"γ ο",
|
886 |
+
"Ïĥ ι",
|
887 |
+
"ĠÏ Īη",
|
888 |
+
"Ïĥ Ïī",
|
889 |
+
"ÏĦ Ïģο",
|
890 |
+
"ικ ή",
|
891 |
+
"θ η",
|
892 |
+
"μ ά",
|
893 |
+
"ε δ",
|
894 |
+
"ĠεÏĢ Î¯",
|
895 |
+
"λ ή",
|
896 |
+
"Ġκ ÏįÏģι",
|
897 |
+
"ά λ",
|
898 |
+
"Ġμ ια",
|
899 |
+
"Ġε κ",
|
900 |
+
"μ ÏĮ",
|
901 |
+
"ĠÏĥÏħ μ",
|
902 |
+
"Ïģ ία",
|
903 |
+
"ÏĦα ν",
|
904 |
+
"μ ή",
|
905 |
+
"ĠαÏħÏĦ ή",
|
906 |
+
"α ν",
|
907 |
+
"Ïİ Ïģα",
|
908 |
+
"ÏĦ ί",
|
909 |
+
"ĠÏĥ η",
|
910 |
+
"ĠÎŃÏĩ οÏħμε",
|
911 |
+
"ĠÏĢα Ïģα",
|
912 |
+
"Ġκα ÏĦά",
|
913 |
+
"ει α",
|
914 |
+
"ĠÏĢÏģο Ïĥ",
|
915 |
+
"ĠÎ ¾",
|
916 |
+
"Ġα να",
|
917 |
+
"ÏĦο Ïį",
|
918 |
+
"δ ο",
|
919 |
+
"Ïģο Ïį",
|
920 |
+
"ί ζ",
|
921 |
+
"ε λ",
|
922 |
+
"Ġ 2",
|
923 |
+
"ĠÏĢε Ïģι",
|
924 |
+
"ÏĦικ ÏĮ",
|
925 |
+
"β α",
|
926 |
+
"ĠÎŃÏĩ ει",
|
927 |
+
"Ġε ξ",
|
928 |
+
"Ïģ ή",
|
929 |
+
"Ġκα ÏĦα",
|
930 |
+
"ÏĢ Î·",
|
931 |
+
"λο γ",
|
932 |
+
"Ïģ Ïī",
|
933 |
+
"ÏĦε ÏĤ",
|
934 |
+
"ο ÏĤ",
|
935 |
+
"Ġαλ λά",
|
936 |
+
"ί εÏĤ",
|
937 |
+
"Ġκ ÏħÏģ",
|
938 |
+
"ĠÎ Ī",
|
939 |
+
"Ġ 1",
|
940 |
+
"Ġδ η",
|
941 |
+
"ĠÏħÏĢ Î¬",
|
942 |
+
"Ġε γκ",
|
943 |
+
"ĠÎ ¹",
|
944 |
+
"Ġδ ικ",
|
945 |
+
"ĠÎĪ Î½Ïī",
|
946 |
+
"ÏĦη ÏĦα",
|
947 |
+
"Ïģ Ïİ",
|
948 |
+
"ĠÏĥ ÏĦα",
|
949 |
+
"θ εί",
|
950 |
+
"ÏĢο ι",
|
951 |
+
"Ïį ÏĦε",
|
952 |
+
"Ġα κ",
|
953 |
+
"μ η",
|
954 |
+
"ικ ά",
|
955 |
+
"ξ η",
|
956 |
+
"ĠÏĥ ÏĦι",
|
957 |
+
"ÏĦικ ά",
|
958 |
+
"ĠÎ ¶",
|
959 |
+
"Ġκ οι",
|
960 |
+
"ικ ÏĮ",
|
961 |
+
"ĠÏĦ ÏİÏģα",
|
962 |
+
"Ġλ οι",
|
963 |
+
"ÏĢ Î¹",
|
964 |
+
"ĠÏĢολ ι",
|
965 |
+
"ĠÏĮ λ",
|
966 |
+
"ίν εÏĦαι",
|
967 |
+
"ĠÏħÏĢά ÏģÏĩ",
|
968 |
+
"Ġο ÏĢο",
|
969 |
+
"Ġλ ÏĮ",
|
970 |
+
"ĠÏħ ÏĢο",
|
971 |
+
"οÏį ν",
|
972 |
+
"κ Ïģα",
|
973 |
+
"ÏĢÏĮ ν",
|
974 |
+
"ĠÏĥη μα",
|
975 |
+
"Ġλοι ÏĢÏĮν",
|
976 |
+
"ε ν",
|
977 |
+
"0 0",
|
978 |
+
"Ġα ÏĢ",
|
979 |
+
"ĠÏĪη ÏĨο",
|
980 |
+
"Ġκ άν",
|
981 |
+
"Ï Ī",
|
982 |
+
"ÏĦο ÏĤ",
|
983 |
+
"Ïģ ÎŃ",
|
984 |
+
"ĠÎ ł",
|
985 |
+
"ĠÎ £",
|
986 |
+
"ĠÎ Ĵ",
|
987 |
+
"ĠÎķÏħÏģÏīÏĢαÏĬκ ή",
|
988 |
+
"ĠÏĪηÏĨο ÏĨο",
|
989 |
+
"μÎŃ Î½",
|
990 |
+
"α λ",
|
991 |
+
"Ïİ ÏĤ",
|
992 |
+
"ι λ",
|
993 |
+
"ÏĮ Ïĥ",
|
994 |
+
"οÏį με",
|
995 |
+
"δ η",
|
996 |
+
"Ġά λ",
|
997 |
+
"λ ÎŃ",
|
998 |
+
"Ïĥ ία",
|
999 |
+
"ĠÎ ľ",
|
1000 |
+
"ÏĦη Ïĥη",
|
1001 |
+
"ο μ",
|
1002 |
+
"Ġδ ι",
|
1003 |
+
"ĠÏĥ ÏĦ",
|
1004 |
+
"ĠÏĦ μή",
|
1005 |
+
"μα ÏĥÏĦε",
|
1006 |
+
"Ïģ εί",
|
1007 |
+
"ĠÏĥ Ïĩ",
|
1008 |
+
"Ïģ εÏĤ",
|
1009 |
+
"ĠÏĮ ÏĢ"
|
1010 |
+
]
|
1011 |
+
}
|
1012 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "([bos])",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "([eos])",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "([unk])",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "([pad])",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"4": {
|
36 |
+
"content": "([mask])",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"497": {
|
44 |
+
"content": "(LNG)",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": true,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": false
|
50 |
+
},
|
51 |
+
"498": {
|
52 |
+
"content": "(UNK)",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": true,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": false
|
58 |
+
},
|
59 |
+
"499": {
|
60 |
+
"content": "(SPN)",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": true,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": false
|
66 |
+
}
|
67 |
+
},
|
68 |
+
"bos_token": "([bos])",
|
69 |
+
"clean_up_tokenization_spaces": true,
|
70 |
+
"eos_token": "([eos])",
|
71 |
+
"mask_token": "([mask])",
|
72 |
+
"model_max_length": 1000000000000000019884624838656,
|
73 |
+
"pad_token": "([pad])",
|
74 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
75 |
+
"unk_token": "([unk])"
|
76 |
+
}
|