Upload tokenizer
Browse files- .gitattributes +1 -0
- README.md +199 -0
- special_tokens_map.json +112 -0
- tokenizer.json +3 -0
- tokenizer_config.json +587 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,199 @@
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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
ADDED
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{
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"additional_special_tokens": [
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"hin_Deva",
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"ben_Beng",
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"mar_Deva",
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"tel_Telu",
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"tam_Taml",
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"guj_Gujr",
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"kan_Knda",
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"mal_Mlym",
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"asm_Beng",
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"urd_Arab",
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"ory_Orya",
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"eng_Latn",
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"fra_Latn",
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"ita_Latn",
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"spa_Latn",
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"deu_Latn",
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"por_Latn",
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"kor_Hang",
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"tha_Thai",
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"arb_Arab",
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"vie_Latn",
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"rus_Cyrl",
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"jpn_Jpan",
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"tur_Latn",
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"ukr_Cyrl",
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"pes_Arab",
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"nld_Latn",
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"npi_Deva",
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"pol_Latn",
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"ind_Latn",
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"afr_Latn",
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"amh_Ethi",
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"hye_Armn",
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"bam_Latn",
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"bel_Cyrl",
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"bul_Cyrl",
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"zho_Hans",
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"ces_Latn",
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"dan_Latn",
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"fin_Latn",
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"ell_Grek",
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"heb_Hebr",
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"mri_Latn",
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"ron_Latn",
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"slv_Latn",
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"swe_Latn",
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"xho_Latn",
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"uig_Arab",
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"som_Latn",
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"pan_Guru",
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"hin_Latn",
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"ben_Latn",
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"tel_Latn",
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"tam_Latn",
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"guj_Latn",
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"kan_Latn",
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"arb_Latn",
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"rus_Latn",
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"jpn_Latn"
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],
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"bos_token": {
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"content": "<s>",
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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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"cls_token": {
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"content": "<s>",
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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": "</s>",
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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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"mask_token": {
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"content": "<mask>",
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"lstrip": false,
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"normalized": true,
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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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"sep_token": {
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"content": "</s>",
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:6854557e48d3e9c7dfa83cfbc839b0e609568c9f12dcffc2b551ae85091aa29b
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size 12148558
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tokenizer_config.json
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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,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"256001": {
|
36 |
+
"content": "hin_Deva",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"256002": {
|
44 |
+
"content": "ben_Beng",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"256003": {
|
52 |
+
"content": "mar_Deva",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"256004": {
|
60 |
+
"content": "tel_Telu",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"256005": {
|
68 |
+
"content": "tam_Taml",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"256006": {
|
76 |
+
"content": "guj_Gujr",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"256007": {
|
84 |
+
"content": "kan_Knda",
|
85 |
+
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|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
},
|
91 |
+
"256008": {
|
92 |
+
"content": "mal_Mlym",
|
93 |
+
"lstrip": false,
|
94 |
+
"normalized": false,
|
95 |
+
"rstrip": false,
|
96 |
+
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|
97 |
+
"special": true
|
98 |
+
},
|
99 |
+
"256009": {
|
100 |
+
"content": "asm_Beng",
|
101 |
+
"lstrip": false,
|
102 |
+
"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
+
"single_word": false,
|
105 |
+
"special": true
|
106 |
+
},
|
107 |
+
"256010": {
|
108 |
+
"content": "urd_Arab",
|
109 |
+
"lstrip": false,
|
110 |
+
"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
+
"256011": {
|
116 |
+
"content": "ory_Orya",
|
117 |
+
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|
118 |
+
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|
119 |
+
"rstrip": false,
|
120 |
+
"single_word": false,
|
121 |
+
"special": true
|
122 |
+
},
|
123 |
+
"256012": {
|
124 |
+
"content": "eng_Latn",
|
125 |
+
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|
126 |
+
"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
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|
129 |
+
"special": true
|
130 |
+
},
|
131 |
+
"256013": {
|
132 |
+
"content": "fra_Latn",
|
133 |
+
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|
134 |
+
"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
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|
137 |
+
"special": true
|
138 |
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},
|
139 |
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"256014": {
|
140 |
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|
141 |
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|
142 |
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|
143 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
+
"256015": {
|
148 |
+
"content": "spa_Latn",
|
149 |
+
"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
+
"256016": {
|
156 |
+
"content": "deu_Latn",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": false,
|
160 |
+
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|
161 |
+
"special": true
|
162 |
+
},
|
163 |
+
"256017": {
|
164 |
+
"content": "por_Latn",
|
165 |
+
"lstrip": false,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": false,
|
168 |
+
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|
169 |
+
"special": true
|
170 |
+
},
|
171 |
+
"256018": {
|
172 |
+
"content": "kor_Hang",
|
173 |
+
"lstrip": false,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": false,
|
176 |
+
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|
177 |
+
"special": true
|
178 |
+
},
|
179 |
+
"256019": {
|
180 |
+
"content": "tha_Thai",
|
181 |
+
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|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": false,
|
184 |
+
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|
185 |
+
"special": true
|
186 |
+
},
|
187 |
+
"256020": {
|
188 |
+
"content": "arb_Arab",
|
189 |
+
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|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": false,
|
192 |
+
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|
193 |
+
"special": true
|
194 |
+
},
|
195 |
+
"256021": {
|
196 |
+
"content": "vie_Latn",
|
197 |
+
"lstrip": false,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": false,
|
200 |
+
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|
201 |
+
"special": true
|
202 |
+
},
|
203 |
+
"256022": {
|
204 |
+
"content": "rus_Cyrl",
|
205 |
+
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|
206 |
+
"normalized": false,
|
207 |
+
"rstrip": false,
|
208 |
+
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|
209 |
+
"special": true
|
210 |
+
},
|
211 |
+
"256023": {
|
212 |
+
"content": "jpn_Jpan",
|
213 |
+
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|
214 |
+
"normalized": false,
|
215 |
+
"rstrip": false,
|
216 |
+
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|
217 |
+
"special": true
|
218 |
+
},
|
219 |
+
"256024": {
|
220 |
+
"content": "tur_Latn",
|
221 |
+
"lstrip": false,
|
222 |
+
"normalized": false,
|
223 |
+
"rstrip": false,
|
224 |
+
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|
225 |
+
"special": true
|
226 |
+
},
|
227 |
+
"256025": {
|
228 |
+
"content": "ukr_Cyrl",
|
229 |
+
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|
230 |
+
"normalized": false,
|
231 |
+
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|
232 |
+
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|
233 |
+
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|
234 |
+
},
|
235 |
+
"256026": {
|
236 |
+
"content": "pes_Arab",
|
237 |
+
"lstrip": false,
|
238 |
+
"normalized": false,
|
239 |
+
"rstrip": false,
|
240 |
+
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|
241 |
+
"special": true
|
242 |
+
},
|
243 |
+
"256027": {
|
244 |
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"content": "nld_Latn",
|
245 |
+
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|
246 |
+
"normalized": false,
|
247 |
+
"rstrip": false,
|
248 |
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|
249 |
+
"special": true
|
250 |
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},
|
251 |
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"256028": {
|
252 |
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"content": "npi_Deva",
|
253 |
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|
254 |
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"normalized": false,
|
255 |
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"rstrip": false,
|
256 |
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|
257 |
+
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|
258 |
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},
|
259 |
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"256029": {
|
260 |
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"content": "pol_Latn",
|
261 |
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|
262 |
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|
263 |
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|
264 |
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|
265 |
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|
266 |
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},
|
267 |
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"256030": {
|
268 |
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"content": "ind_Latn",
|
269 |
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|
270 |
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|
271 |
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|
272 |
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|
273 |
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|
274 |
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},
|
275 |
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"256031": {
|
276 |
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|
277 |
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|
278 |
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|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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|
284 |
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|
285 |
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|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
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}
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