Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +7 -0
- tokenizer.json +512 -0
- tokenizer_config.json +76 -0
README.md
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| 1 |
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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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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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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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| 41 |
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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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| 45 |
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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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| 51 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 56 |
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[More Information Needed]
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| 57 |
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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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| 65 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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special_tokens_map.json
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{
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"bos_token": "([bos])",
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"eos_token": "([eos])",
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"mask_token": "([mask])",
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"pad_token": "([pad])",
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"unk_token": "([unk])"
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}
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tokenizer.json
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| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
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"truncation": null,
|
| 4 |
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"padding": null,
|
| 5 |
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|
| 6 |
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{
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| 7 |
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|
| 8 |
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"content": "([bos])",
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
+
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|
| 13 |
+
"special": true
|
| 14 |
+
},
|
| 15 |
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{
|
| 16 |
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"id": 1,
|
| 17 |
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"content": "([eos])",
|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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"special": true
|
| 23 |
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|
| 24 |
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{
|
| 25 |
+
"id": 2,
|
| 26 |
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"content": "([unk])",
|
| 27 |
+
"single_word": false,
|
| 28 |
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"lstrip": false,
|
| 29 |
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"rstrip": false,
|
| 30 |
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"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"id": 3,
|
| 35 |
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"content": "([pad])",
|
| 36 |
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|
| 37 |
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"lstrip": false,
|
| 38 |
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"rstrip": false,
|
| 39 |
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|
| 40 |
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"special": true
|
| 41 |
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},
|
| 42 |
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{
|
| 43 |
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"id": 4,
|
| 44 |
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"content": "([mask])",
|
| 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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"special": true
|
| 50 |
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},
|
| 51 |
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{
|
| 52 |
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"id": 247,
|
| 53 |
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"content": "(LNG)",
|
| 54 |
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|
| 55 |
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"lstrip": false,
|
| 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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"id": 248,
|
| 62 |
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"content": "(UNK)",
|
| 63 |
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|
| 64 |
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|
| 65 |
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"rstrip": false,
|
| 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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"id": 249,
|
| 71 |
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"content": "(SPN)",
|
| 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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"special": false
|
| 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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"type": "ByteLevel",
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| 82 |
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|
| 83 |
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"trim_offsets": true,
|
| 84 |
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"use_regex": true
|
| 85 |
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},
|
| 86 |
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"post_processor": {
|
| 87 |
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"type": "TemplateProcessing",
|
| 88 |
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"single": [
|
| 89 |
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{
|
| 90 |
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"Sequence": {
|
| 91 |
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"id": "A",
|
| 92 |
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"type_id": 0
|
| 93 |
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}
|
| 94 |
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},
|
| 95 |
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{
|
| 96 |
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"SpecialToken": {
|
| 97 |
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"id": "([eos])",
|
| 98 |
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"type_id": 0
|
| 99 |
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}
|
| 100 |
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}
|
| 101 |
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],
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| 102 |
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| 103 |
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{
|
| 104 |
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"Sequence": {
|
| 105 |
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"id": "A",
|
| 106 |
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"type_id": 0
|
| 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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"id": "([eos])",
|
| 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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"Sequence": {
|
| 117 |
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"id": "B",
|
| 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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"id": "([eos])",
|
| 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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"id": "([bos])",
|
| 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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| 139 |
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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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"type": "ByteLevel",
|
| 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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| 169 |
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| 170 |
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"'": 7,
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| 172 |
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"(": 8,
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| 173 |
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")": 9,
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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".": 14,
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"/": 15,
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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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":": 26,
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| 191 |
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";": 27,
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| 192 |
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| 193 |
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| 194 |
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"B": 30,
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| 195 |
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| 196 |
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| 197 |
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| 198 |
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| 204 |
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| 205 |
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| 207 |
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| 213 |
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| 214 |
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"ł": 148,
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| 324 |
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"Ġε": 174,
|
| 339 |
+
"Ġα": 175,
|
| 340 |
+
"ÎŃ": 176,
|
| 341 |
+
"ĠÏĥ": 177,
|
| 342 |
+
"Ïī": 178,
|
| 343 |
+
"αι": 179,
|
| 344 |
+
"ή": 180,
|
| 345 |
+
"Ïį": 181,
|
| 346 |
+
"Ġμ": 182,
|
| 347 |
+
"γ": 183,
|
| 348 |
+
"ει": 184,
|
| 349 |
+
"Ïĩ": 185,
|
| 350 |
+
"Ïİ": 186,
|
| 351 |
+
"ια": 187,
|
| 352 |
+
"με": 188,
|
| 353 |
+
"Ġν": 189,
|
| 354 |
+
"ικ": 190,
|
| 355 |
+
"Ġδ": 191,
|
| 356 |
+
"ĠÏĦη": 192,
|
| 357 |
+
"Ġκαι": 193,
|
| 358 |
+
"Ġνα": 194,
|
| 359 |
+
"δ": 195,
|
| 360 |
+
"θ": 196,
|
| 361 |
+
"Ïģο": 197,
|
| 362 |
+
"ÏĨ": 198,
|
| 363 |
+
"ÏĦα": 199,
|
| 364 |
+
"ÏĦε": 200,
|
| 365 |
+
"ία": 201,
|
| 366 |
+
"ÏĢο": 202,
|
| 367 |
+
"ĠÏĦο": 203,
|
| 368 |
+
"Ġγ": 204,
|
| 369 |
+
"μα": 205,
|
| 370 |
+
"Ïģα": 206,
|
| 371 |
+
"Ïĥη": 207,
|
| 372 |
+
"Ġο": 208,
|
| 373 |
+
"ÏĦη": 209,
|
| 374 |
+
"Ïģι": 210,
|
| 375 |
+
"ÏĦο": 211,
|
| 376 |
+
"ĠÎŃ": 212,
|
| 377 |
+
"Ġθ": 213,
|
| 378 |
+
"ίν": 214,
|
| 379 |
+
"Ïīν": 215,
|
| 380 |
+
"ĠÏĮ": 216,
|
| 381 |
+
"β": 217,
|
| 382 |
+
"Ġγια": 218,
|
| 383 |
+
"οÏħμε": 219,
|
| 384 |
+
"ÏĦι": 220,
|
| 385 |
+
"Ġη": 221,
|
| 386 |
+
"ĠÏĦην": 222,
|
| 387 |
+
"να": 223,
|
| 388 |
+
"νο": 224,
|
| 389 |
+
"ĠÏĦοÏħ": 225,
|
| 390 |
+
"ĠαÏħ": 226,
|
| 391 |
+
"Ġ,": 227,
|
| 392 |
+
"Ġμε": 228,
|
| 393 |
+
"Ġ.": 229,
|
| 394 |
+
"ĠÏĢÏģ": 230,
|
| 395 |
+
"ολ": 231,
|
| 396 |
+
"ÏĦικ": 232,
|
| 397 |
+
"ĠÏĥÏħ": 233,
|
| 398 |
+
"εÏĤ": 234,
|
| 399 |
+
"ξ": 235,
|
| 400 |
+
"Ġκα": 236,
|
| 401 |
+
"ÏħÏģ": 237,
|
| 402 |
+
"ÏĢÏĮ": 238,
|
| 403 |
+
"οÏį": 239,
|
| 404 |
+
"ĠαÏħÏĦ": 240,
|
| 405 |
+
"Ġθα": 241,
|
| 406 |
+
"ζ": 242,
|
| 407 |
+
"ĠÏĦηÏĤ": 243,
|
| 408 |
+
"αÏĤ": 244,
|
| 409 |
+
"οι": 245,
|
| 410 |
+
"ÎŃÏĤ": 246
|
| 411 |
+
},
|
| 412 |
+
"merges": [
|
| 413 |
+
"Ġ Î",
|
| 414 |
+
"Î ±",
|
| 415 |
+
"Ï Ħ",
|
| 416 |
+
"Î ¹",
|
| 417 |
+
"Î ¿",
|
| 418 |
+
"Î µ",
|
| 419 |
+
"Î ½",
|
| 420 |
+
"Ï ģ",
|
| 421 |
+
"Ġ Ï",
|
| 422 |
+
"Ï ħ",
|
| 423 |
+
"Ï Ĥ",
|
| 424 |
+
"Î ·",
|
| 425 |
+
"Ï ĥ",
|
| 426 |
+
"Ġ ÏĦ",
|
| 427 |
+
"Î ¼",
|
| 428 |
+
"Î ¯",
|
| 429 |
+
"Ï Ģ",
|
| 430 |
+
"Î »",
|
| 431 |
+
"Î º",
|
| 432 |
+
"ĠÏ Ģ",
|
| 433 |
+
"Î ¬",
|
| 434 |
+
"ο Ïħ",
|
| 435 |
+
"ĠÎ º",
|
| 436 |
+
"Ï Į",
|
| 437 |
+
"ĠÎ µ",
|
| 438 |
+
"ĠÎ ±",
|
| 439 |
+
"Î Ń",
|
| 440 |
+
"ĠÏ ĥ",
|
| 441 |
+
"Ï ī",
|
| 442 |
+
"α ι",
|
| 443 |
+
"Î ®",
|
| 444 |
+
"Ï į",
|
| 445 |
+
"ĠÎ ¼",
|
| 446 |
+
"Î ³",
|
| 447 |
+
"ε ι",
|
| 448 |
+
"Ï ĩ",
|
| 449 |
+
"Ï İ",
|
| 450 |
+
"ι α",
|
| 451 |
+
"μ ε",
|
| 452 |
+
"ĠÎ ½",
|
| 453 |
+
"ι κ",
|
| 454 |
+
"ĠÎ ´",
|
| 455 |
+
"ĠÏĦ η",
|
| 456 |
+
"Ġκ αι",
|
| 457 |
+
"Ġν α",
|
| 458 |
+
"Î ´",
|
| 459 |
+
"Î ¸",
|
| 460 |
+
"Ïģ ο",
|
| 461 |
+
"Ï Ĩ",
|
| 462 |
+
"ÏĦ α",
|
| 463 |
+
"ÏĦ ε",
|
| 464 |
+
"ί α",
|
| 465 |
+
"ÏĢ Î¿",
|
| 466 |
+
"ĠÏĦ ο",
|
| 467 |
+
"ĠÎ ³",
|
| 468 |
+
"μ α",
|
| 469 |
+
"Ïģ α",
|
| 470 |
+
"Ïĥ η",
|
| 471 |
+
"ĠÎ ¿",
|
| 472 |
+
"ÏĦ η",
|
| 473 |
+
"Ïģ ι",
|
| 474 |
+
"ÏĦ ο",
|
| 475 |
+
"ĠÎ Ń",
|
| 476 |
+
"ĠÎ ¸",
|
| 477 |
+
"ί ν",
|
| 478 |
+
"Ïī ν",
|
| 479 |
+
"ĠÏ Į",
|
| 480 |
+
"Î ²",
|
| 481 |
+
"Ġγ ια",
|
| 482 |
+
"οÏħ με",
|
| 483 |
+
"ÏĦ ι",
|
| 484 |
+
"ĠÎ ·",
|
| 485 |
+
"ĠÏĦη ν",
|
| 486 |
+
"ν α",
|
| 487 |
+
"ν ο",
|
| 488 |
+
"ĠÏĦ οÏħ",
|
| 489 |
+
"Ġα Ïħ",
|
| 490 |
+
"Ġ ,",
|
| 491 |
+
"Ġμ ε",
|
| 492 |
+
"Ġ .",
|
| 493 |
+
"ĠÏĢ Ïģ",
|
| 494 |
+
"ο λ",
|
| 495 |
+
"ÏĦ ικ",
|
| 496 |
+
"ĠÏĥ Ïħ",
|
| 497 |
+
"ε ÏĤ",
|
| 498 |
+
"Î ¾",
|
| 499 |
+
"Ġκ α",
|
| 500 |
+
"Ïħ Ïģ",
|
| 501 |
+
"ÏĢ ÏĮ",
|
| 502 |
+
"ο Ïį",
|
| 503 |
+
"ĠαÏħ ÏĦ",
|
| 504 |
+
"Ġθ α",
|
| 505 |
+
"Î ¶",
|
| 506 |
+
"ĠÏĦη ÏĤ",
|
| 507 |
+
"α ÏĤ",
|
| 508 |
+
"ο ι",
|
| 509 |
+
"ÎŃ ÏĤ"
|
| 510 |
+
]
|
| 511 |
+
}
|
| 512 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "([bos])",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "([eos])",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "([unk])",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "([pad])",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "([mask])",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"247": {
|
| 44 |
+
"content": "(LNG)",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": true,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": false
|
| 50 |
+
},
|
| 51 |
+
"248": {
|
| 52 |
+
"content": "(UNK)",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": true,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": false
|
| 58 |
+
},
|
| 59 |
+
"249": {
|
| 60 |
+
"content": "(SPN)",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": true,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": false
|
| 66 |
+
}
|
| 67 |
+
},
|
| 68 |
+
"bos_token": "([bos])",
|
| 69 |
+
"clean_up_tokenization_spaces": true,
|
| 70 |
+
"eos_token": "([eos])",
|
| 71 |
+
"mask_token": "([mask])",
|
| 72 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 73 |
+
"pad_token": "([pad])",
|
| 74 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 75 |
+
"unk_token": "([unk])"
|
| 76 |
+
}
|