ALIGHASEMI931
commited on
Commit
•
b24cc83
1
Parent(s):
d9b27cd
Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +4 -0
- special_tokens_map.json +6 -0
- tokenizer_config.json +47 -0
- vocab.json +105 -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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"</s>": 104,
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"<s>": 103
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}
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "[PAD]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"101": {
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"content": "[UNK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"102": {
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"content": "[PAD]",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"103": {
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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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"special": true
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},
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"104": {
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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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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": false,
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"replace_word_delimiter_char": " ",
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"target_lang": null,
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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}
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vocab.json
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{
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"#": 1,
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"&": 2,
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"(": 3,
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")": 4,
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"=": 5,
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"[PAD]": 102,
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"[UNK]": 101,
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"_": 6,
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"|": 0,
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"ā": 7,
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"š": 8,
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"،": 9,
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"؛": 10,
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"؟": 11,
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"ء": 12,
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"آ": 13,
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"أ": 14,
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"ؤ": 15,
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"ئ": 16,
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"ا": 17,
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"ب": 18,
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"ة": 19,
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"ت": 20,
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"ث": 21,
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"ج": 22,
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"ح": 23,
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"خ": 24,
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"د": 25,
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"ذ": 26,
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"ر": 27,
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"ز": 28,
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"س": 29,
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"ش": 30,
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"ص": 31,
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"ض": 32,
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"ط": 33,
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"ظ": 34,
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"ع": 35,
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"غ": 36,
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"ـ": 37,
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"ف": 38,
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"ق": 39,
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"ك": 40,
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"ل": 41,
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"م": 42,
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"ن": 43,
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"ه": 44,
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"و": 45,
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"ى": 46,
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"ي": 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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"پ": 57,
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"چ": 58,
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"ژ": 59,
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"ک": 60,
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"گ": 61,
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"ۀ": 62,
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"ی": 63,
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"ے": 64,
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"ە": 65,
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"–": 66,
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"…": 67,
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"ﭘ": 68,
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"ﮐ": 69,
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"ﮔ": 70,
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"ﯽ": 71,
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"ﯾ": 72,
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"ﯿ": 73,
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"ﺍ": 74,
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"ﺎ": 75,
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"ﺑ": 76,
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"ﺒ": 77,
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82 |
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"ﺖ": 78,
|
83 |
+
"ﺘ": 79,
|
84 |
+
"ﺧ": 80,
|
85 |
+
"ﺩ": 81,
|
86 |
+
"ﺪ": 82,
|
87 |
+
"ﺭ": 83,
|
88 |
+
"ﺮ": 84,
|
89 |
+
"ﺱ": 85,
|
90 |
+
"ﺴ": 86,
|
91 |
+
"ﺷ": 87,
|
92 |
+
"ﺸ": 88,
|
93 |
+
"ﻀ": 89,
|
94 |
+
"ﻋ": 90,
|
95 |
+
"ﻌ": 91,
|
96 |
+
"ﻟ": 92,
|
97 |
+
"ﻡ": 93,
|
98 |
+
"ﻢ": 94,
|
99 |
+
"ﻤ": 95,
|
100 |
+
"ﻥ": 96,
|
101 |
+
"ﻧ": 97,
|
102 |
+
"ﻪ": 98,
|
103 |
+
"ﻭ": 99,
|
104 |
+
"ﻮ": 100
|
105 |
+
}
|