aymanosman
commited on
Commit
•
0d29e40
1
Parent(s):
fe356cc
Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +102 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +109 -0
- tokenizer_config.json +951 -0
- vocab.json +0 -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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added_tokens.json
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{
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"__af__": 128004,
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"__am__": 128005,
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"__ar__": 128006,
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"__ast__": 128007,
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"__az__": 128008,
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"__ba__": 128009,
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"__be__": 128010,
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"__bg__": 128011,
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"__bn__": 128012,
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"__br__": 128013,
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"__bs__": 128014,
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"__ca__": 128015,
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"__ceb__": 128016,
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"__cs__": 128017,
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"__cy__": 128018,
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"__da__": 128019,
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"__de__": 128020,
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"__el__": 128021,
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"__en__": 128022,
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"__es__": 128023,
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"__et__": 128024,
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"__fa__": 128025,
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"__ff__": 128026,
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"__fi__": 128027,
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"__fr__": 128028,
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"__fy__": 128029,
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"__ga__": 128030,
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"__gd__": 128031,
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"__gl__": 128032,
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"__gu__": 128033,
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"__ha__": 128034,
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"__he__": 128035,
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"__hi__": 128036,
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"__hr__": 128037,
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"__ht__": 128038,
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"__hu__": 128039,
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"__hy__": 128040,
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"__id__": 128041,
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"__ig__": 128042,
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"__ilo__": 128043,
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"__is__": 128044,
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"__it__": 128045,
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"__ja__": 128046,
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"__jv__": 128047,
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"__ka__": 128048,
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"__kk__": 128049,
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"__km__": 128050,
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"__kn__": 128051,
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"__ko__": 128052,
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"__lb__": 128053,
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"__lg__": 128054,
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"__ln__": 128055,
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"__lo__": 128056,
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"__lt__": 128057,
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"__lv__": 128058,
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"__mg__": 128059,
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"__mk__": 128060,
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"__ml__": 128061,
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"__mn__": 128062,
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"__mr__": 128063,
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"__ms__": 128064,
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"__my__": 128065,
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"__ne__": 128066,
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"__nl__": 128067,
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"__no__": 128068,
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"__ns__": 128069,
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"__oc__": 128070,
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"__or__": 128071,
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"__pa__": 128072,
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"__pl__": 128073,
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"__ps__": 128074,
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"__pt__": 128075,
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"__ro__": 128076,
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"__ru__": 128077,
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"__sd__": 128078,
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"__si__": 128079,
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"__sk__": 128080,
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"__sl__": 128081,
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"__so__": 128082,
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"__sq__": 128083,
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"__sr__": 128084,
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"__ss__": 128085,
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"__su__": 128086,
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"__sv__": 128087,
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"__sw__": 128088,
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"__ta__": 128089,
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"__th__": 128090,
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"__tl__": 128091,
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"__tn__": 128092,
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"__tr__": 128093,
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"__uk__": 128094,
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"__ur__": 128095,
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"__uz__": 128096,
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"__vi__": 128097,
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"__wo__": 128098,
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"__xh__": 128099,
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"__yi__": 128100,
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"__yo__": 128101,
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"__zh__": 128102,
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"__zu__": 128103
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}
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
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size 2423393
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special_tokens_map.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"__af__",
|
4 |
+
"__am__",
|
5 |
+
"__ar__",
|
6 |
+
"__ast__",
|
7 |
+
"__az__",
|
8 |
+
"__ba__",
|
9 |
+
"__be__",
|
10 |
+
"__bg__",
|
11 |
+
"__bn__",
|
12 |
+
"__br__",
|
13 |
+
"__bs__",
|
14 |
+
"__ca__",
|
15 |
+
"__ceb__",
|
16 |
+
"__cs__",
|
17 |
+
"__cy__",
|
18 |
+
"__da__",
|
19 |
+
"__de__",
|
20 |
+
"__el__",
|
21 |
+
"__en__",
|
22 |
+
"__es__",
|
23 |
+
"__et__",
|
24 |
+
"__fa__",
|
25 |
+
"__ff__",
|
26 |
+
"__fi__",
|
27 |
+
"__fr__",
|
28 |
+
"__fy__",
|
29 |
+
"__ga__",
|
30 |
+
"__gd__",
|
31 |
+
"__gl__",
|
32 |
+
"__gu__",
|
33 |
+
"__ha__",
|
34 |
+
"__he__",
|
35 |
+
"__hi__",
|
36 |
+
"__hr__",
|
37 |
+
"__ht__",
|
38 |
+
"__hu__",
|
39 |
+
"__hy__",
|
40 |
+
"__id__",
|
41 |
+
"__ig__",
|
42 |
+
"__ilo__",
|
43 |
+
"__is__",
|
44 |
+
"__it__",
|
45 |
+
"__ja__",
|
46 |
+
"__jv__",
|
47 |
+
"__ka__",
|
48 |
+
"__kk__",
|
49 |
+
"__km__",
|
50 |
+
"__kn__",
|
51 |
+
"__ko__",
|
52 |
+
"__lb__",
|
53 |
+
"__lg__",
|
54 |
+
"__ln__",
|
55 |
+
"__lo__",
|
56 |
+
"__lt__",
|
57 |
+
"__lv__",
|
58 |
+
"__mg__",
|
59 |
+
"__mk__",
|
60 |
+
"__ml__",
|
61 |
+
"__mn__",
|
62 |
+
"__mr__",
|
63 |
+
"__ms__",
|
64 |
+
"__my__",
|
65 |
+
"__ne__",
|
66 |
+
"__nl__",
|
67 |
+
"__no__",
|
68 |
+
"__ns__",
|
69 |
+
"__oc__",
|
70 |
+
"__or__",
|
71 |
+
"__pa__",
|
72 |
+
"__pl__",
|
73 |
+
"__ps__",
|
74 |
+
"__pt__",
|
75 |
+
"__ro__",
|
76 |
+
"__ru__",
|
77 |
+
"__sd__",
|
78 |
+
"__si__",
|
79 |
+
"__sk__",
|
80 |
+
"__sl__",
|
81 |
+
"__so__",
|
82 |
+
"__sq__",
|
83 |
+
"__sr__",
|
84 |
+
"__ss__",
|
85 |
+
"__su__",
|
86 |
+
"__sv__",
|
87 |
+
"__sw__",
|
88 |
+
"__ta__",
|
89 |
+
"__th__",
|
90 |
+
"__tl__",
|
91 |
+
"__tn__",
|
92 |
+
"__tr__",
|
93 |
+
"__uk__",
|
94 |
+
"__ur__",
|
95 |
+
"__uz__",
|
96 |
+
"__vi__",
|
97 |
+
"__wo__",
|
98 |
+
"__xh__",
|
99 |
+
"__yi__",
|
100 |
+
"__yo__",
|
101 |
+
"__zh__",
|
102 |
+
"__zu__"
|
103 |
+
],
|
104 |
+
"bos_token": "<s>",
|
105 |
+
"eos_token": "</s>",
|
106 |
+
"pad_token": "<pad>",
|
107 |
+
"sep_token": "</s>",
|
108 |
+
"unk_token": "<unk>"
|
109 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,951 @@
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|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
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|
500 |
+
"content": "__mn__",
|
501 |
+
"lstrip": false,
|
502 |
+
"normalized": false,
|
503 |
+
"rstrip": false,
|
504 |
+
"single_word": false,
|
505 |
+
"special": true
|
506 |
+
},
|
507 |
+
"128063": {
|
508 |
+
"content": "__mr__",
|
509 |
+
"lstrip": false,
|
510 |
+
"normalized": false,
|
511 |
+
"rstrip": false,
|
512 |
+
"single_word": false,
|
513 |
+
"special": true
|
514 |
+
},
|
515 |
+
"128064": {
|
516 |
+
"content": "__ms__",
|
517 |
+
"lstrip": false,
|
518 |
+
"normalized": false,
|
519 |
+
"rstrip": false,
|
520 |
+
"single_word": false,
|
521 |
+
"special": true
|
522 |
+
},
|
523 |
+
"128065": {
|
524 |
+
"content": "__my__",
|
525 |
+
"lstrip": false,
|
526 |
+
"normalized": false,
|
527 |
+
"rstrip": false,
|
528 |
+
"single_word": false,
|
529 |
+
"special": true
|
530 |
+
},
|
531 |
+
"128066": {
|
532 |
+
"content": "__ne__",
|
533 |
+
"lstrip": false,
|
534 |
+
"normalized": false,
|
535 |
+
"rstrip": false,
|
536 |
+
"single_word": false,
|
537 |
+
"special": true
|
538 |
+
},
|
539 |
+
"128067": {
|
540 |
+
"content": "__nl__",
|
541 |
+
"lstrip": false,
|
542 |
+
"normalized": false,
|
543 |
+
"rstrip": false,
|
544 |
+
"single_word": false,
|
545 |
+
"special": true
|
546 |
+
},
|
547 |
+
"128068": {
|
548 |
+
"content": "__no__",
|
549 |
+
"lstrip": false,
|
550 |
+
"normalized": false,
|
551 |
+
"rstrip": false,
|
552 |
+
"single_word": false,
|
553 |
+
"special": true
|
554 |
+
},
|
555 |
+
"128069": {
|
556 |
+
"content": "__ns__",
|
557 |
+
"lstrip": false,
|
558 |
+
"normalized": false,
|
559 |
+
"rstrip": false,
|
560 |
+
"single_word": false,
|
561 |
+
"special": true
|
562 |
+
},
|
563 |
+
"128070": {
|
564 |
+
"content": "__oc__",
|
565 |
+
"lstrip": false,
|
566 |
+
"normalized": false,
|
567 |
+
"rstrip": false,
|
568 |
+
"single_word": false,
|
569 |
+
"special": true
|
570 |
+
},
|
571 |
+
"128071": {
|
572 |
+
"content": "__or__",
|
573 |
+
"lstrip": false,
|
574 |
+
"normalized": false,
|
575 |
+
"rstrip": false,
|
576 |
+
"single_word": false,
|
577 |
+
"special": true
|
578 |
+
},
|
579 |
+
"128072": {
|
580 |
+
"content": "__pa__",
|
581 |
+
"lstrip": false,
|
582 |
+
"normalized": false,
|
583 |
+
"rstrip": false,
|
584 |
+
"single_word": false,
|
585 |
+
"special": true
|
586 |
+
},
|
587 |
+
"128073": {
|
588 |
+
"content": "__pl__",
|
589 |
+
"lstrip": false,
|
590 |
+
"normalized": false,
|
591 |
+
"rstrip": false,
|
592 |
+
"single_word": false,
|
593 |
+
"special": true
|
594 |
+
},
|
595 |
+
"128074": {
|
596 |
+
"content": "__ps__",
|
597 |
+
"lstrip": false,
|
598 |
+
"normalized": false,
|
599 |
+
"rstrip": false,
|
600 |
+
"single_word": false,
|
601 |
+
"special": true
|
602 |
+
},
|
603 |
+
"128075": {
|
604 |
+
"content": "__pt__",
|
605 |
+
"lstrip": false,
|
606 |
+
"normalized": false,
|
607 |
+
"rstrip": false,
|
608 |
+
"single_word": false,
|
609 |
+
"special": true
|
610 |
+
},
|
611 |
+
"128076": {
|
612 |
+
"content": "__ro__",
|
613 |
+
"lstrip": false,
|
614 |
+
"normalized": false,
|
615 |
+
"rstrip": false,
|
616 |
+
"single_word": false,
|
617 |
+
"special": true
|
618 |
+
},
|
619 |
+
"128077": {
|
620 |
+
"content": "__ru__",
|
621 |
+
"lstrip": false,
|
622 |
+
"normalized": false,
|
623 |
+
"rstrip": false,
|
624 |
+
"single_word": false,
|
625 |
+
"special": true
|
626 |
+
},
|
627 |
+
"128078": {
|
628 |
+
"content": "__sd__",
|
629 |
+
"lstrip": false,
|
630 |
+
"normalized": false,
|
631 |
+
"rstrip": false,
|
632 |
+
"single_word": false,
|
633 |
+
"special": true
|
634 |
+
},
|
635 |
+
"128079": {
|
636 |
+
"content": "__si__",
|
637 |
+
"lstrip": false,
|
638 |
+
"normalized": false,
|
639 |
+
"rstrip": false,
|
640 |
+
"single_word": false,
|
641 |
+
"special": true
|
642 |
+
},
|
643 |
+
"128080": {
|
644 |
+
"content": "__sk__",
|
645 |
+
"lstrip": false,
|
646 |
+
"normalized": false,
|
647 |
+
"rstrip": false,
|
648 |
+
"single_word": false,
|
649 |
+
"special": true
|
650 |
+
},
|
651 |
+
"128081": {
|
652 |
+
"content": "__sl__",
|
653 |
+
"lstrip": false,
|
654 |
+
"normalized": false,
|
655 |
+
"rstrip": false,
|
656 |
+
"single_word": false,
|
657 |
+
"special": true
|
658 |
+
},
|
659 |
+
"128082": {
|
660 |
+
"content": "__so__",
|
661 |
+
"lstrip": false,
|
662 |
+
"normalized": false,
|
663 |
+
"rstrip": false,
|
664 |
+
"single_word": false,
|
665 |
+
"special": true
|
666 |
+
},
|
667 |
+
"128083": {
|
668 |
+
"content": "__sq__",
|
669 |
+
"lstrip": false,
|
670 |
+
"normalized": false,
|
671 |
+
"rstrip": false,
|
672 |
+
"single_word": false,
|
673 |
+
"special": true
|
674 |
+
},
|
675 |
+
"128084": {
|
676 |
+
"content": "__sr__",
|
677 |
+
"lstrip": false,
|
678 |
+
"normalized": false,
|
679 |
+
"rstrip": false,
|
680 |
+
"single_word": false,
|
681 |
+
"special": true
|
682 |
+
},
|
683 |
+
"128085": {
|
684 |
+
"content": "__ss__",
|
685 |
+
"lstrip": false,
|
686 |
+
"normalized": false,
|
687 |
+
"rstrip": false,
|
688 |
+
"single_word": false,
|
689 |
+
"special": true
|
690 |
+
},
|
691 |
+
"128086": {
|
692 |
+
"content": "__su__",
|
693 |
+
"lstrip": false,
|
694 |
+
"normalized": false,
|
695 |
+
"rstrip": false,
|
696 |
+
"single_word": false,
|
697 |
+
"special": true
|
698 |
+
},
|
699 |
+
"128087": {
|
700 |
+
"content": "__sv__",
|
701 |
+
"lstrip": false,
|
702 |
+
"normalized": false,
|
703 |
+
"rstrip": false,
|
704 |
+
"single_word": false,
|
705 |
+
"special": true
|
706 |
+
},
|
707 |
+
"128088": {
|
708 |
+
"content": "__sw__",
|
709 |
+
"lstrip": false,
|
710 |
+
"normalized": false,
|
711 |
+
"rstrip": false,
|
712 |
+
"single_word": false,
|
713 |
+
"special": true
|
714 |
+
},
|
715 |
+
"128089": {
|
716 |
+
"content": "__ta__",
|
717 |
+
"lstrip": false,
|
718 |
+
"normalized": false,
|
719 |
+
"rstrip": false,
|
720 |
+
"single_word": false,
|
721 |
+
"special": true
|
722 |
+
},
|
723 |
+
"128090": {
|
724 |
+
"content": "__th__",
|
725 |
+
"lstrip": false,
|
726 |
+
"normalized": false,
|
727 |
+
"rstrip": false,
|
728 |
+
"single_word": false,
|
729 |
+
"special": true
|
730 |
+
},
|
731 |
+
"128091": {
|
732 |
+
"content": "__tl__",
|
733 |
+
"lstrip": false,
|
734 |
+
"normalized": false,
|
735 |
+
"rstrip": false,
|
736 |
+
"single_word": false,
|
737 |
+
"special": true
|
738 |
+
},
|
739 |
+
"128092": {
|
740 |
+
"content": "__tn__",
|
741 |
+
"lstrip": false,
|
742 |
+
"normalized": false,
|
743 |
+
"rstrip": false,
|
744 |
+
"single_word": false,
|
745 |
+
"special": true
|
746 |
+
},
|
747 |
+
"128093": {
|
748 |
+
"content": "__tr__",
|
749 |
+
"lstrip": false,
|
750 |
+
"normalized": false,
|
751 |
+
"rstrip": false,
|
752 |
+
"single_word": false,
|
753 |
+
"special": true
|
754 |
+
},
|
755 |
+
"128094": {
|
756 |
+
"content": "__uk__",
|
757 |
+
"lstrip": false,
|
758 |
+
"normalized": false,
|
759 |
+
"rstrip": false,
|
760 |
+
"single_word": false,
|
761 |
+
"special": true
|
762 |
+
},
|
763 |
+
"128095": {
|
764 |
+
"content": "__ur__",
|
765 |
+
"lstrip": false,
|
766 |
+
"normalized": false,
|
767 |
+
"rstrip": false,
|
768 |
+
"single_word": false,
|
769 |
+
"special": true
|
770 |
+
},
|
771 |
+
"128096": {
|
772 |
+
"content": "__uz__",
|
773 |
+
"lstrip": false,
|
774 |
+
"normalized": false,
|
775 |
+
"rstrip": false,
|
776 |
+
"single_word": false,
|
777 |
+
"special": true
|
778 |
+
},
|
779 |
+
"128097": {
|
780 |
+
"content": "__vi__",
|
781 |
+
"lstrip": false,
|
782 |
+
"normalized": false,
|
783 |
+
"rstrip": false,
|
784 |
+
"single_word": false,
|
785 |
+
"special": true
|
786 |
+
},
|
787 |
+
"128098": {
|
788 |
+
"content": "__wo__",
|
789 |
+
"lstrip": false,
|
790 |
+
"normalized": false,
|
791 |
+
"rstrip": false,
|
792 |
+
"single_word": false,
|
793 |
+
"special": true
|
794 |
+
},
|
795 |
+
"128099": {
|
796 |
+
"content": "__xh__",
|
797 |
+
"lstrip": false,
|
798 |
+
"normalized": false,
|
799 |
+
"rstrip": false,
|
800 |
+
"single_word": false,
|
801 |
+
"special": true
|
802 |
+
},
|
803 |
+
"128100": {
|
804 |
+
"content": "__yi__",
|
805 |
+
"lstrip": false,
|
806 |
+
"normalized": false,
|
807 |
+
"rstrip": false,
|
808 |
+
"single_word": false,
|
809 |
+
"special": true
|
810 |
+
},
|
811 |
+
"128101": {
|
812 |
+
"content": "__yo__",
|
813 |
+
"lstrip": false,
|
814 |
+
"normalized": false,
|
815 |
+
"rstrip": false,
|
816 |
+
"single_word": false,
|
817 |
+
"special": true
|
818 |
+
},
|
819 |
+
"128102": {
|
820 |
+
"content": "__zh__",
|
821 |
+
"lstrip": false,
|
822 |
+
"normalized": false,
|
823 |
+
"rstrip": false,
|
824 |
+
"single_word": false,
|
825 |
+
"special": true
|
826 |
+
},
|
827 |
+
"128103": {
|
828 |
+
"content": "__zu__",
|
829 |
+
"lstrip": false,
|
830 |
+
"normalized": false,
|
831 |
+
"rstrip": false,
|
832 |
+
"single_word": false,
|
833 |
+
"special": true
|
834 |
+
}
|
835 |
+
},
|
836 |
+
"additional_special_tokens": [
|
837 |
+
"__af__",
|
838 |
+
"__am__",
|
839 |
+
"__ar__",
|
840 |
+
"__ast__",
|
841 |
+
"__az__",
|
842 |
+
"__ba__",
|
843 |
+
"__be__",
|
844 |
+
"__bg__",
|
845 |
+
"__bn__",
|
846 |
+
"__br__",
|
847 |
+
"__bs__",
|
848 |
+
"__ca__",
|
849 |
+
"__ceb__",
|
850 |
+
"__cs__",
|
851 |
+
"__cy__",
|
852 |
+
"__da__",
|
853 |
+
"__de__",
|
854 |
+
"__el__",
|
855 |
+
"__en__",
|
856 |
+
"__es__",
|
857 |
+
"__et__",
|
858 |
+
"__fa__",
|
859 |
+
"__ff__",
|
860 |
+
"__fi__",
|
861 |
+
"__fr__",
|
862 |
+
"__fy__",
|
863 |
+
"__ga__",
|
864 |
+
"__gd__",
|
865 |
+
"__gl__",
|
866 |
+
"__gu__",
|
867 |
+
"__ha__",
|
868 |
+
"__he__",
|
869 |
+
"__hi__",
|
870 |
+
"__hr__",
|
871 |
+
"__ht__",
|
872 |
+
"__hu__",
|
873 |
+
"__hy__",
|
874 |
+
"__id__",
|
875 |
+
"__ig__",
|
876 |
+
"__ilo__",
|
877 |
+
"__is__",
|
878 |
+
"__it__",
|
879 |
+
"__ja__",
|
880 |
+
"__jv__",
|
881 |
+
"__ka__",
|
882 |
+
"__kk__",
|
883 |
+
"__km__",
|
884 |
+
"__kn__",
|
885 |
+
"__ko__",
|
886 |
+
"__lb__",
|
887 |
+
"__lg__",
|
888 |
+
"__ln__",
|
889 |
+
"__lo__",
|
890 |
+
"__lt__",
|
891 |
+
"__lv__",
|
892 |
+
"__mg__",
|
893 |
+
"__mk__",
|
894 |
+
"__ml__",
|
895 |
+
"__mn__",
|
896 |
+
"__mr__",
|
897 |
+
"__ms__",
|
898 |
+
"__my__",
|
899 |
+
"__ne__",
|
900 |
+
"__nl__",
|
901 |
+
"__no__",
|
902 |
+
"__ns__",
|
903 |
+
"__oc__",
|
904 |
+
"__or__",
|
905 |
+
"__pa__",
|
906 |
+
"__pl__",
|
907 |
+
"__ps__",
|
908 |
+
"__pt__",
|
909 |
+
"__ro__",
|
910 |
+
"__ru__",
|
911 |
+
"__sd__",
|
912 |
+
"__si__",
|
913 |
+
"__sk__",
|
914 |
+
"__sl__",
|
915 |
+
"__so__",
|
916 |
+
"__sq__",
|
917 |
+
"__sr__",
|
918 |
+
"__ss__",
|
919 |
+
"__su__",
|
920 |
+
"__sv__",
|
921 |
+
"__sw__",
|
922 |
+
"__ta__",
|
923 |
+
"__th__",
|
924 |
+
"__tl__",
|
925 |
+
"__tn__",
|
926 |
+
"__tr__",
|
927 |
+
"__uk__",
|
928 |
+
"__ur__",
|
929 |
+
"__uz__",
|
930 |
+
"__vi__",
|
931 |
+
"__wo__",
|
932 |
+
"__xh__",
|
933 |
+
"__yi__",
|
934 |
+
"__yo__",
|
935 |
+
"__zh__",
|
936 |
+
"__zu__"
|
937 |
+
],
|
938 |
+
"bos_token": "<s>",
|
939 |
+
"clean_up_tokenization_spaces": true,
|
940 |
+
"eos_token": "</s>",
|
941 |
+
"language_codes": "m2m100",
|
942 |
+
"model_max_length": 1024,
|
943 |
+
"num_madeup_words": 8,
|
944 |
+
"pad_token": "<pad>",
|
945 |
+
"sep_token": "</s>",
|
946 |
+
"sp_model_kwargs": {},
|
947 |
+
"src_lang": "en",
|
948 |
+
"tgt_lang": null,
|
949 |
+
"tokenizer_class": "M2M100Tokenizer",
|
950 |
+
"unk_token": "<unk>"
|
951 |
+
}
|
vocab.json
ADDED
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See raw diff
|
|