colesimmons
commited on
Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +130 -0
- tokenizer.json +789 -0
- tokenizer_config.json +115 -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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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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{
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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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{
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"content": "<RULING>",
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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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"content": "<mask>",
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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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"content": "<BLANK_SPACE>",
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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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"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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"content": "\n",
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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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"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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{
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"content": "<COLUMN>",
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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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"content": "<SURFACE>",
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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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"content": "...",
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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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"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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],
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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": 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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"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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127 |
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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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1 |
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115 |
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"𒌤": 493,
|
631 |
+
"𒌦": 494,
|
632 |
+
"𒌧": 495,
|
633 |
+
"𒌨": 496,
|
634 |
+
"𒌪": 497,
|
635 |
+
"𒌫": 498,
|
636 |
+
"𒌬": 499,
|
637 |
+
"𒌰": 500,
|
638 |
+
"𒌱": 501,
|
639 |
+
"𒌲": 502,
|
640 |
+
"𒌴": 503,
|
641 |
+
"𒌵": 504,
|
642 |
+
"𒌶": 505,
|
643 |
+
"𒌷": 506,
|
644 |
+
"𒌸": 507,
|
645 |
+
"𒌺": 508,
|
646 |
+
"𒌼": 509,
|
647 |
+
"𒌾": 510,
|
648 |
+
"𒌿": 511,
|
649 |
+
"𒍀": 512,
|
650 |
+
"𒍂": 513,
|
651 |
+
"𒍇": 514,
|
652 |
+
"𒍋": 515,
|
653 |
+
"𒍍": 516,
|
654 |
+
"𒍎": 517,
|
655 |
+
"𒍏": 518,
|
656 |
+
"𒍑": 519,
|
657 |
+
"𒍒": 520,
|
658 |
+
"𒍔": 521,
|
659 |
+
"𒍕": 522,
|
660 |
+
"𒍖": 523,
|
661 |
+
"𒍚": 524,
|
662 |
+
"𒍜": 525,
|
663 |
+
"𒍝": 526,
|
664 |
+
"𒍞": 527,
|
665 |
+
"𒍠": 528,
|
666 |
+
"𒍢": 529,
|
667 |
+
"𒍣": 530,
|
668 |
+
"𒍤": 531,
|
669 |
+
"𒍥": 532,
|
670 |
+
"𒍦": 533,
|
671 |
+
"𒍨": 534,
|
672 |
+
"𒍩": 535,
|
673 |
+
"𒍪": 536,
|
674 |
+
"𒍫": 537,
|
675 |
+
"𒍬": 538,
|
676 |
+
"𒍮": 539,
|
677 |
+
"𒍺": 540,
|
678 |
+
"𒍼": 541,
|
679 |
+
"𒍽": 542,
|
680 |
+
"𒎉": 543,
|
681 |
+
"𒎌": 544,
|
682 |
+
"𒎎": 545,
|
683 |
+
"𒎏": 546,
|
684 |
+
"𒎐": 547,
|
685 |
+
"𒎒": 548,
|
686 |
+
"𒎓": 549,
|
687 |
+
"𒎗": 550,
|
688 |
+
"𒎙": 551,
|
689 |
+
"𒐀": 552,
|
690 |
+
"𒐁": 553,
|
691 |
+
"𒐂": 554,
|
692 |
+
"𒐃": 555,
|
693 |
+
"𒐄": 556,
|
694 |
+
"𒐅": 557,
|
695 |
+
"𒐆": 558,
|
696 |
+
"𒐇": 559,
|
697 |
+
"𒐈": 560,
|
698 |
+
"𒐉": 561,
|
699 |
+
"𒐊": 562,
|
700 |
+
"𒐋": 563,
|
701 |
+
"𒐌": 564,
|
702 |
+
"𒐍": 565,
|
703 |
+
"𒐏": 566,
|
704 |
+
"𒐐": 567,
|
705 |
+
"𒐑": 568,
|
706 |
+
"𒐒": 569,
|
707 |
+
"𒐓": 570,
|
708 |
+
"𒐔": 571,
|
709 |
+
"𒐕": 572,
|
710 |
+
"𒐖": 573,
|
711 |
+
"𒐗": 574,
|
712 |
+
"𒐘": 575,
|
713 |
+
"𒐙": 576,
|
714 |
+
"𒐚": 577,
|
715 |
+
"𒐛": 578,
|
716 |
+
"𒐜": 579,
|
717 |
+
"𒐝": 580,
|
718 |
+
"𒐞": 581,
|
719 |
+
"𒐟": 582,
|
720 |
+
"𒐠": 583,
|
721 |
+
"𒐡": 584,
|
722 |
+
"𒐢": 585,
|
723 |
+
"𒐣": 586,
|
724 |
+
"𒐤": 587,
|
725 |
+
"𒐦": 588,
|
726 |
+
"𒐧": 589,
|
727 |
+
"𒐨": 590,
|
728 |
+
"𒐩": 591,
|
729 |
+
"𒐪": 592,
|
730 |
+
"𒐫": 593,
|
731 |
+
"𒐬": 594,
|
732 |
+
"𒐭": 595,
|
733 |
+
"𒐮": 596,
|
734 |
+
"𒐰": 597,
|
735 |
+
"𒐱": 598,
|
736 |
+
"𒐴": 599,
|
737 |
+
"𒐵": 600,
|
738 |
+
"𒐶": 601,
|
739 |
+
"𒐸": 602,
|
740 |
+
"𒐹": 603,
|
741 |
+
"𒐼": 604,
|
742 |
+
"𒑄": 605,
|
743 |
+
"𒑆": 606,
|
744 |
+
"𒑍": 607,
|
745 |
+
"𒑏": 608,
|
746 |
+
"𒑐": 609,
|
747 |
+
"𒑑": 610,
|
748 |
+
"𒑒": 611,
|
749 |
+
"𒑔": 612,
|
750 |
+
"𒑖": 613,
|
751 |
+
"𒑗": 614,
|
752 |
+
"𒑘": 615,
|
753 |
+
"𒑙": 616,
|
754 |
+
"𒑚": 617,
|
755 |
+
"𒑛": 618,
|
756 |
+
"𒑜": 619,
|
757 |
+
"𒑟": 620,
|
758 |
+
"𒑠": 621,
|
759 |
+
"𒒬": 622,
|
760 |
+
"𒒾": 623,
|
761 |
+
"𒓈": 624,
|
762 |
+
"𒓺": 625,
|
763 |
+
"𒓻": 626,
|
764 |
+
"𒓼": 627,
|
765 |
+
"𒔲": 628,
|
766 |
+
"𒔸": 629,
|
767 |
+
"𒕁": 630,
|
768 |
+
"𒕂": 631,
|
769 |
+
"𒌨𒀭": 632,
|
770 |
+
"𒀭𒂗": 633,
|
771 |
+
"𒐊𒋡": 634,
|
772 |
+
"𒋗𒃸": 635,
|
773 |
+
"𒆠𒁀": 636,
|
774 |
+
"𒀭𒂗𒍪": 637,
|
775 |
+
"𒀭𒎏": 638,
|
776 |
+
"𒅆𒌨": 639
|
777 |
+
},
|
778 |
+
"merges": [
|
779 |
+
"𒌨 𒀭",
|
780 |
+
"𒀭 𒂗",
|
781 |
+
"𒐊 𒋡",
|
782 |
+
"𒋗 𒃸",
|
783 |
+
"𒆠 𒁀",
|
784 |
+
"𒀭𒂗 𒍪",
|
785 |
+
"𒀭 𒎏",
|
786 |
+
"𒅆 𒌨"
|
787 |
+
]
|
788 |
+
}
|
789 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,115 @@
|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
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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 |
+
"4": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"5": {
|
44 |
+
"content": "\n",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"6": {
|
52 |
+
"content": "<SURFACE>",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"7": {
|
60 |
+
"content": "<COLUMN>",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"8": {
|
68 |
+
"content": "<BLANK_SPACE>",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"9": {
|
76 |
+
"content": "<RULING>",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"10": {
|
84 |
+
"content": "...",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
+
"special": true
|
90 |
+
}
|
91 |
+
},
|
92 |
+
"additional_special_tokens": [
|
93 |
+
"</s>",
|
94 |
+
"<RULING>",
|
95 |
+
"<mask>",
|
96 |
+
"<BLANK_SPACE>",
|
97 |
+
"<unk>",
|
98 |
+
"\n",
|
99 |
+
"<s>",
|
100 |
+
"<COLUMN>",
|
101 |
+
"<SURFACE>",
|
102 |
+
"...",
|
103 |
+
"<pad>"
|
104 |
+
],
|
105 |
+
"bos_token": "<s>",
|
106 |
+
"clean_up_tokenization_spaces": true,
|
107 |
+
"cls_token": "<s>",
|
108 |
+
"eos_token": "</s>",
|
109 |
+
"mask_token": "<mask>",
|
110 |
+
"model_max_length": 1000000000000000019884624838656,
|
111 |
+
"pad_token": "<pad>",
|
112 |
+
"sep_token": "</s>",
|
113 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
114 |
+
"unk_token": "<unk>"
|
115 |
+
}
|