speedcell4
commited on
Commit
•
6b10695
1
Parent(s):
67e81cb
Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +44 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +73 -0
- tokenizer.json +0 -0
- tokenizer_config.json +413 -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>": 64002,
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"<am>": 64003,
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"<ar>": 64004,
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"<ast>": 64005,
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"<be>": 64006,
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"<bg>": 64007,
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"<bn>": 64008,
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"<bs>": 64009,
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"<ca>": 64010,
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"<cs>": 64011,
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"<da>": 64012,
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"<de>": 64013,
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"<en>": 64014,
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"<eos>": 64001,
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"<es>": 64015,
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"<fr>": 64016,
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"<gu>": 64017,
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"<ha>": 64018,
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"<he>": 64019,
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"<hi>": 64020,
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"<is>": 64021,
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"<it>": 64022,
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"<kab>": 64023,
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"<kn>": 64024,
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"<lb>": 64025,
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"<mr>": 64026,
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"<mt>": 64027,
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"<ne>": 64028,
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"<nl>": 64029,
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"<no>": 64030,
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"<oc>": 64031,
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"<pl>": 64032,
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"<pt>": 64033,
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"<ro>": 64034,
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"<ru>": 64035,
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"<sd>": 64036,
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"<so>": 64037,
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"<sr>": 64038,
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"<sv>": 64039,
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"<ti>": 64040,
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"<uk>": 64041,
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"<ur>": 64042
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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 sha256:7f5694eb3a630f9f8c8232b00d4d9477c2f87e8857fdaecabe0cde544691cb8d
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size 1488383
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<af>",
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"<am>",
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"<ar>",
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"<ast>",
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"<be>",
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"<bg>",
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"<bn>",
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"<bs>",
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"<ca>",
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"<cs>",
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"<da>",
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"<de>",
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"<en>",
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"<es>",
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"<fr>",
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"<gu>",
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"<ha>",
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"<he>",
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"<hi>",
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"<is>",
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"<it>",
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"<kab>",
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"<kn>",
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"<lb>",
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"<mr>",
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"<mt>",
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"<ne>",
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"<nl>",
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"<no>",
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"<oc>",
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"<pl>",
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"<pt>",
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"<ro>",
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"<ru>",
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"<sd>",
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"<so>",
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"<sr>",
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"<sv>",
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"<ti>",
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"<uk>",
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"<ur>"
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],
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"bos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"1": {
|
4 |
+
"content": "<pad>",
|
5 |
+
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|
6 |
+
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|
7 |
+
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|
8 |
+
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|
9 |
+
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|
10 |
+
},
|
11 |
+
"3": {
|
12 |
+
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|
13 |
+
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|
14 |
+
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|
15 |
+
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|
16 |
+
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|
17 |
+
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|
18 |
+
},
|
19 |
+
"64001": {
|
20 |
+
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|
21 |
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|
22 |
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|
23 |
+
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|
24 |
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|
25 |
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|
26 |
+
},
|
27 |
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|
28 |
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|
29 |
+
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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},
|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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},
|
43 |
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|
44 |
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|
45 |
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|
46 |
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|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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|
53 |
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|
54 |
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|
55 |
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56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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|
63 |
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|
64 |
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65 |
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|
66 |
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|
67 |
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|
68 |
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|
69 |
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|
70 |
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|
71 |
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|
72 |
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73 |
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|
74 |
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75 |
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|
76 |
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77 |
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78 |
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|
79 |
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80 |
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|
81 |
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|
82 |
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},
|
83 |
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|
84 |
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85 |
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|
86 |
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|
87 |
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|
88 |
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|
89 |
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|
90 |
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},
|
91 |
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|
92 |
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93 |
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|
94 |
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|
95 |
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96 |
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97 |
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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|
102 |
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|
103 |
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|
104 |
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|
105 |
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|
106 |
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},
|
107 |
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|
108 |
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|
109 |
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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114 |
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|
115 |
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|
116 |
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|
117 |
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|
118 |
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|
119 |
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|
120 |
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121 |
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122 |
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|
123 |
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|
124 |
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125 |
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|
126 |
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|
127 |
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128 |
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129 |
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130 |
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131 |
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|
132 |
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133 |
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134 |
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135 |
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136 |
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137 |
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138 |
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|
140 |
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141 |
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142 |
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143 |
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144 |
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145 |
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146 |
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147 |
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|
148 |
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149 |
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150 |
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151 |
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152 |
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153 |
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154 |
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155 |
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|
156 |
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157 |
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158 |
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159 |
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160 |
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161 |
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162 |
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163 |
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164 |
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165 |
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166 |
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167 |
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168 |
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169 |
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170 |
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|
171 |
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|
172 |
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173 |
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174 |
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|
175 |
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176 |
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|
177 |
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178 |
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179 |
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|
180 |
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181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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|
188 |
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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|
196 |
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|
197 |
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|
198 |
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|
199 |
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201 |
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202 |
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203 |
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|
204 |
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205 |
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206 |
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|
207 |
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208 |
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209 |
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|
210 |
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|
211 |
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|
212 |
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|
213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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|
218 |
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|
219 |
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|
220 |
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221 |
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|
222 |
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|
223 |
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224 |
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225 |
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226 |
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|
228 |
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229 |
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|
230 |
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231 |
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232 |
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233 |
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234 |
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235 |
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|
236 |
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237 |
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238 |
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239 |
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240 |
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|
241 |
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242 |
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|
243 |
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|
244 |
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245 |
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|
246 |
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247 |
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248 |
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249 |
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250 |
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251 |
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252 |
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253 |
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254 |
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255 |
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256 |
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257 |
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258 |
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259 |
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260 |
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261 |
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262 |
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263 |
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264 |
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266 |
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268 |
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269 |
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271 |
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272 |
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273 |
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274 |
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276 |
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277 |
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278 |
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280 |
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286 |
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293 |
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303 |
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306 |
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308 |
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309 |
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311 |
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314 |
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316 |
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360 |
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362 |
+
"<bg>",
|
363 |
+
"<bn>",
|
364 |
+
"<bs>",
|
365 |
+
"<ca>",
|
366 |
+
"<cs>",
|
367 |
+
"<da>",
|
368 |
+
"<de>",
|
369 |
+
"<en>",
|
370 |
+
"<es>",
|
371 |
+
"<fr>",
|
372 |
+
"<gu>",
|
373 |
+
"<ha>",
|
374 |
+
"<he>",
|
375 |
+
"<hi>",
|
376 |
+
"<is>",
|
377 |
+
"<it>",
|
378 |
+
"<kab>",
|
379 |
+
"<kn>",
|
380 |
+
"<lb>",
|
381 |
+
"<mr>",
|
382 |
+
"<mt>",
|
383 |
+
"<ne>",
|
384 |
+
"<nl>",
|
385 |
+
"<no>",
|
386 |
+
"<oc>",
|
387 |
+
"<pl>",
|
388 |
+
"<pt>",
|
389 |
+
"<ro>",
|
390 |
+
"<ru>",
|
391 |
+
"<sd>",
|
392 |
+
"<so>",
|
393 |
+
"<sr>",
|
394 |
+
"<sv>",
|
395 |
+
"<ti>",
|
396 |
+
"<uk>",
|
397 |
+
"<ur>"
|
398 |
+
],
|
399 |
+
"bos_token": "<eos>",
|
400 |
+
"clean_up_tokenization_spaces": true,
|
401 |
+
"cls_token": null,
|
402 |
+
"eos_token": "<eos>",
|
403 |
+
"legacy_behaviour": false,
|
404 |
+
"mask_token": null,
|
405 |
+
"model_max_length": 1000000000000000019884624838656,
|
406 |
+
"pad_token": "<pad>",
|
407 |
+
"sep_token": null,
|
408 |
+
"sp_model_kwargs": {},
|
409 |
+
"src_lang": "<en>",
|
410 |
+
"tgt_lang": null,
|
411 |
+
"tokenizer_class": "NllbTokenizer",
|
412 |
+
"unk_token": "<unk>"
|
413 |
+
}
|