Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +8 -0
- tokenizer.json +317 -0
- tokenizer_config.json +61 -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
@@ -0,0 +1,8 @@
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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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"sep_token": " ",
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"unk_token": "([unk])"
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}
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tokenizer.json
ADDED
@@ -0,0 +1,317 @@
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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{
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"id": 0,
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"content": "([bos])",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 1,
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"content": "([eos])",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 2,
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"content": "([unk])",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 3,
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"content": "([pad])",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 4,
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"content": "([mask])",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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},
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{
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"id": 100,
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"content": " ",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": null,
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"pre_tokenizer": {
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"type": "ByteLevel",
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"add_prefix_space": false,
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"trim_offsets": true,
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"use_regex": true
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},
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"post_processor": {
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"type": "TemplateProcessing",
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"single": [
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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},
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{
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"SpecialToken": {
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"id": "([eos])",
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"type_id": 0
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}
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}
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],
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"pair": [
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{
|
86 |
+
"Sequence": {
|
87 |
+
"id": "A",
|
88 |
+
"type_id": 0
|
89 |
+
}
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"SpecialToken": {
|
93 |
+
"id": "([eos])",
|
94 |
+
"type_id": 0
|
95 |
+
}
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"Sequence": {
|
99 |
+
"id": "B",
|
100 |
+
"type_id": 1
|
101 |
+
}
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"SpecialToken": {
|
105 |
+
"id": "([eos])",
|
106 |
+
"type_id": 1
|
107 |
+
}
|
108 |
+
}
|
109 |
+
],
|
110 |
+
"special_tokens": {
|
111 |
+
"([bos])": {
|
112 |
+
"id": "([bos])",
|
113 |
+
"ids": [
|
114 |
+
0
|
115 |
+
],
|
116 |
+
"tokens": [
|
117 |
+
"([bos])"
|
118 |
+
]
|
119 |
+
},
|
120 |
+
"([eos])": {
|
121 |
+
"id": "([eos])",
|
122 |
+
"ids": [
|
123 |
+
1
|
124 |
+
],
|
125 |
+
"tokens": [
|
126 |
+
"([eos])"
|
127 |
+
]
|
128 |
+
}
|
129 |
+
}
|
130 |
+
},
|
131 |
+
"decoder": {
|
132 |
+
"type": "ByteLevel",
|
133 |
+
"add_prefix_space": true,
|
134 |
+
"trim_offsets": true,
|
135 |
+
"use_regex": true
|
136 |
+
},
|
137 |
+
"model": {
|
138 |
+
"type": "BPE",
|
139 |
+
"dropout": null,
|
140 |
+
"unk_token": null,
|
141 |
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"continuing_subword_prefix": null,
|
142 |
+
"end_of_word_suffix": null,
|
143 |
+
"fuse_unk": false,
|
144 |
+
"byte_fallback": false,
|
145 |
+
"vocab": {
|
146 |
+
"([bos])": 0,
|
147 |
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"([eos])": 1,
|
148 |
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"([unk])": 2,
|
149 |
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"([pad])": 3,
|
150 |
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"([mask])": 4,
|
151 |
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"'": 5,
|
152 |
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"a": 6,
|
153 |
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"b": 7,
|
154 |
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"c": 8,
|
155 |
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"d": 9,
|
156 |
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"e": 10,
|
157 |
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"f": 11,
|
158 |
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"g": 12,
|
159 |
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"h": 13,
|
160 |
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"i": 14,
|
161 |
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"j": 15,
|
162 |
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"k": 16,
|
163 |
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"l": 17,
|
164 |
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"m": 18,
|
165 |
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"n": 19,
|
166 |
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"o": 20,
|
167 |
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"p": 21,
|
168 |
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"q": 22,
|
169 |
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"r": 23,
|
170 |
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"s": 24,
|
171 |
+
"t": 25,
|
172 |
+
"u": 26,
|
173 |
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"v": 27,
|
174 |
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"w": 28,
|
175 |
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"x": 29,
|
176 |
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"y": 30,
|
177 |
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"z": 31,
|
178 |
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"Ġ": 32,
|
179 |
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"Ġt": 33,
|
180 |
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"he": 34,
|
181 |
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"Ġa": 35,
|
182 |
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"in": 36,
|
183 |
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"Ġthe": 37,
|
184 |
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"Ġs": 38,
|
185 |
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"Ġw": 39,
|
186 |
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"Ġo": 40,
|
187 |
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"re": 41,
|
188 |
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"nd": 42,
|
189 |
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"Ġh": 43,
|
190 |
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"Ġb": 44,
|
191 |
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"er": 45,
|
192 |
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"Ġm": 46,
|
193 |
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"ou": 47,
|
194 |
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"Ġi": 48,
|
195 |
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"Ġc": 49,
|
196 |
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"Ġf": 50,
|
197 |
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"at": 51,
|
198 |
+
"ed": 52,
|
199 |
+
"en": 53,
|
200 |
+
"on": 54,
|
201 |
+
"Ġof": 55,
|
202 |
+
"Ġto": 56,
|
203 |
+
"Ġand": 57,
|
204 |
+
"is": 58,
|
205 |
+
"ing": 59,
|
206 |
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"Ġd": 60,
|
207 |
+
"Ġp": 61,
|
208 |
+
"Ġth": 62,
|
209 |
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"or": 63,
|
210 |
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"Ġhe": 64,
|
211 |
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"es": 65,
|
212 |
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"it": 66,
|
213 |
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"Ġl": 67,
|
214 |
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"as": 68,
|
215 |
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"ar": 69,
|
216 |
+
"ll": 70,
|
217 |
+
"an": 71,
|
218 |
+
"Ġin": 72,
|
219 |
+
"Ġn": 73,
|
220 |
+
"Ġg": 74,
|
221 |
+
"om": 75,
|
222 |
+
"Ġbe": 76,
|
223 |
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"Ġha": 77,
|
224 |
+
"le": 78,
|
225 |
+
"Ġe": 79,
|
226 |
+
"ot": 80,
|
227 |
+
"ut": 81,
|
228 |
+
"ow": 82,
|
229 |
+
"ic": 83,
|
230 |
+
"Ġy": 84,
|
231 |
+
"ld": 85,
|
232 |
+
"ve": 86,
|
233 |
+
"ly": 87,
|
234 |
+
"Ġit": 88,
|
235 |
+
"Ġwh": 89,
|
236 |
+
"Ġwas": 90,
|
237 |
+
"se": 91,
|
238 |
+
"Ġthat": 92,
|
239 |
+
"id": 93,
|
240 |
+
"st": 94,
|
241 |
+
"gh": 95,
|
242 |
+
"Ġon": 96,
|
243 |
+
"ent": 97,
|
244 |
+
"Ġre": 98,
|
245 |
+
"im": 99
|
246 |
+
},
|
247 |
+
"merges": [
|
248 |
+
"Ġ t",
|
249 |
+
"h e",
|
250 |
+
"Ġ a",
|
251 |
+
"i n",
|
252 |
+
"Ġt he",
|
253 |
+
"Ġ s",
|
254 |
+
"Ġ w",
|
255 |
+
"Ġ o",
|
256 |
+
"r e",
|
257 |
+
"n d",
|
258 |
+
"Ġ h",
|
259 |
+
"Ġ b",
|
260 |
+
"e r",
|
261 |
+
"Ġ m",
|
262 |
+
"o u",
|
263 |
+
"Ġ i",
|
264 |
+
"Ġ c",
|
265 |
+
"Ġ f",
|
266 |
+
"a t",
|
267 |
+
"e d",
|
268 |
+
"e n",
|
269 |
+
"o n",
|
270 |
+
"Ġo f",
|
271 |
+
"Ġt o",
|
272 |
+
"Ġa nd",
|
273 |
+
"i s",
|
274 |
+
"in g",
|
275 |
+
"Ġ d",
|
276 |
+
"Ġ p",
|
277 |
+
"Ġt h",
|
278 |
+
"o r",
|
279 |
+
"Ġ he",
|
280 |
+
"e s",
|
281 |
+
"i t",
|
282 |
+
"Ġ l",
|
283 |
+
"a s",
|
284 |
+
"a r",
|
285 |
+
"l l",
|
286 |
+
"a n",
|
287 |
+
"Ġ in",
|
288 |
+
"Ġ n",
|
289 |
+
"Ġ g",
|
290 |
+
"o m",
|
291 |
+
"Ġb e",
|
292 |
+
"Ġh a",
|
293 |
+
"l e",
|
294 |
+
"Ġ e",
|
295 |
+
"o t",
|
296 |
+
"u t",
|
297 |
+
"o w",
|
298 |
+
"i c",
|
299 |
+
"Ġ y",
|
300 |
+
"l d",
|
301 |
+
"v e",
|
302 |
+
"l y",
|
303 |
+
"Ġi t",
|
304 |
+
"Ġw h",
|
305 |
+
"Ġw as",
|
306 |
+
"s e",
|
307 |
+
"Ġth at",
|
308 |
+
"i d",
|
309 |
+
"s t",
|
310 |
+
"g h",
|
311 |
+
"Ġo n",
|
312 |
+
"en t",
|
313 |
+
"Ġ re",
|
314 |
+
"i m"
|
315 |
+
]
|
316 |
+
}
|
317 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
"100": {
|
44 |
+
"content": " ",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
}
|
51 |
+
},
|
52 |
+
"bos_token": "([bos])",
|
53 |
+
"clean_up_tokenization_spaces": true,
|
54 |
+
"eos_token": "([eos])",
|
55 |
+
"mask_token": "([mask])",
|
56 |
+
"model_max_length": 1000000000000000019884624838656,
|
57 |
+
"pad_token": "([pad])",
|
58 |
+
"sep_token": " ",
|
59 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
60 |
+
"unk_token": "([unk])"
|
61 |
+
}
|