Upload tokenizer
Browse files- README.md +201 -0
- added_tokens.json +28 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +78 -0
- tokenizer_config.json +284 -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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"<mask>": 250026,
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"ar_AR": 250001,
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"cs_CZ": 250002,
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"de_DE": 250003,
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"en_XX": 250004,
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"es_XX": 250005,
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"et_EE": 250006,
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"fi_FI": 250007,
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"fr_XX": 250008,
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"gu_IN": 250009,
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"hi_IN": 250010,
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"it_IT": 250011,
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"ja_XX": 250012,
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"kk_KZ": 250013,
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"ko_KR": 250014,
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"lt_LT": 250015,
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"lv_LV": 250016,
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"my_MM": 250017,
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"ne_NP": 250018,
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"nl_XX": 250019,
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"ro_RO": 250020,
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"ru_RU": 250021,
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"si_LK": 250022,
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"tr_TR": 250023,
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"vi_VN": 250024,
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"zh_CN": 250025
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}
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:b905443a71973f3fcbdd1417b8a376dff8f0308de23c7401f04f815ceac47152
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size 710220
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special_tokens_map.json
ADDED
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ",
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"de_DE",
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"en_XX",
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"es_XX",
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"et_EE",
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"fi_FI",
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"fr_XX",
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"gu_IN",
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"hi_IN",
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"it_IT",
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"ja_XX",
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"kk_KZ",
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"ko_KR",
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"lt_LT",
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"lv_LV",
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"my_MM",
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"ne_NP",
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"nl_XX",
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"ro_RO",
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"ru_RU",
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"si_LK",
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"tr_TR",
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"vi_VN",
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"zh_CN"
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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": true,
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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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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"250001": {
|
36 |
+
"content": "ar_AR",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"250002": {
|
44 |
+
"content": "cs_CZ",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"250003": {
|
52 |
+
"content": "de_DE",
|
53 |
+
"lstrip": false,
|
54 |
+
"normalized": false,
|
55 |
+
"rstrip": false,
|
56 |
+
"single_word": false,
|
57 |
+
"special": true
|
58 |
+
},
|
59 |
+
"250004": {
|
60 |
+
"content": "en_XX",
|
61 |
+
"lstrip": false,
|
62 |
+
"normalized": false,
|
63 |
+
"rstrip": false,
|
64 |
+
"single_word": false,
|
65 |
+
"special": true
|
66 |
+
},
|
67 |
+
"250005": {
|
68 |
+
"content": "es_XX",
|
69 |
+
"lstrip": false,
|
70 |
+
"normalized": false,
|
71 |
+
"rstrip": false,
|
72 |
+
"single_word": false,
|
73 |
+
"special": true
|
74 |
+
},
|
75 |
+
"250006": {
|
76 |
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"content": "et_EE",
|
77 |
+
"lstrip": false,
|
78 |
+
"normalized": false,
|
79 |
+
"rstrip": false,
|
80 |
+
"single_word": false,
|
81 |
+
"special": true
|
82 |
+
},
|
83 |
+
"250007": {
|
84 |
+
"content": "fi_FI",
|
85 |
+
"lstrip": false,
|
86 |
+
"normalized": false,
|
87 |
+
"rstrip": false,
|
88 |
+
"single_word": false,
|
89 |
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"special": true
|
90 |
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},
|
91 |
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"250008": {
|
92 |
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"content": "fr_XX",
|
93 |
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"lstrip": false,
|
94 |
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|
95 |
+
"rstrip": false,
|
96 |
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"single_word": false,
|
97 |
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"special": true
|
98 |
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},
|
99 |
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"250009": {
|
100 |
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"content": "gu_IN",
|
101 |
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"lstrip": false,
|
102 |
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"normalized": false,
|
103 |
+
"rstrip": false,
|
104 |
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"single_word": false,
|
105 |
+
"special": true
|
106 |
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},
|
107 |
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"250010": {
|
108 |
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"content": "hi_IN",
|
109 |
+
"lstrip": false,
|
110 |
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"normalized": false,
|
111 |
+
"rstrip": false,
|
112 |
+
"single_word": false,
|
113 |
+
"special": true
|
114 |
+
},
|
115 |
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"250011": {
|
116 |
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|
117 |
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|
118 |
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|
119 |
+
"rstrip": false,
|
120 |
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|
121 |
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"special": true
|
122 |
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},
|
123 |
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"250012": {
|
124 |
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"content": "ja_XX",
|
125 |
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"lstrip": false,
|
126 |
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"normalized": false,
|
127 |
+
"rstrip": false,
|
128 |
+
"single_word": false,
|
129 |
+
"special": true
|
130 |
+
},
|
131 |
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|
132 |
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|
133 |
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"lstrip": false,
|
134 |
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"normalized": false,
|
135 |
+
"rstrip": false,
|
136 |
+
"single_word": false,
|
137 |
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"special": true
|
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 |
+
"rstrip": false,
|
144 |
+
"single_word": false,
|
145 |
+
"special": true
|
146 |
+
},
|
147 |
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"250015": {
|
148 |
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"content": "lt_LT",
|
149 |
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"lstrip": false,
|
150 |
+
"normalized": false,
|
151 |
+
"rstrip": false,
|
152 |
+
"single_word": false,
|
153 |
+
"special": true
|
154 |
+
},
|
155 |
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"250016": {
|
156 |
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"content": "lv_LV",
|
157 |
+
"lstrip": false,
|
158 |
+
"normalized": false,
|
159 |
+
"rstrip": false,
|
160 |
+
"single_word": false,
|
161 |
+
"special": true
|
162 |
+
},
|
163 |
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"250017": {
|
164 |
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"content": "my_MM",
|
165 |
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"lstrip": false,
|
166 |
+
"normalized": false,
|
167 |
+
"rstrip": false,
|
168 |
+
"single_word": false,
|
169 |
+
"special": true
|
170 |
+
},
|
171 |
+
"250018": {
|
172 |
+
"content": "ne_NP",
|
173 |
+
"lstrip": false,
|
174 |
+
"normalized": false,
|
175 |
+
"rstrip": false,
|
176 |
+
"single_word": false,
|
177 |
+
"special": true
|
178 |
+
},
|
179 |
+
"250019": {
|
180 |
+
"content": "nl_XX",
|
181 |
+
"lstrip": false,
|
182 |
+
"normalized": false,
|
183 |
+
"rstrip": false,
|
184 |
+
"single_word": false,
|
185 |
+
"special": true
|
186 |
+
},
|
187 |
+
"250020": {
|
188 |
+
"content": "ro_RO",
|
189 |
+
"lstrip": false,
|
190 |
+
"normalized": false,
|
191 |
+
"rstrip": false,
|
192 |
+
"single_word": false,
|
193 |
+
"special": true
|
194 |
+
},
|
195 |
+
"250021": {
|
196 |
+
"content": "ru_RU",
|
197 |
+
"lstrip": false,
|
198 |
+
"normalized": false,
|
199 |
+
"rstrip": false,
|
200 |
+
"single_word": false,
|
201 |
+
"special": true
|
202 |
+
},
|
203 |
+
"250022": {
|
204 |
+
"content": "si_LK",
|
205 |
+
"lstrip": false,
|
206 |
+
"normalized": false,
|
207 |
+
"rstrip": false,
|
208 |
+
"single_word": false,
|
209 |
+
"special": true
|
210 |
+
},
|
211 |
+
"250023": {
|
212 |
+
"content": "tr_TR",
|
213 |
+
"lstrip": false,
|
214 |
+
"normalized": false,
|
215 |
+
"rstrip": false,
|
216 |
+
"single_word": false,
|
217 |
+
"special": true
|
218 |
+
},
|
219 |
+
"250024": {
|
220 |
+
"content": "vi_VN",
|
221 |
+
"lstrip": false,
|
222 |
+
"normalized": false,
|
223 |
+
"rstrip": false,
|
224 |
+
"single_word": false,
|
225 |
+
"special": true
|
226 |
+
},
|
227 |
+
"250025": {
|
228 |
+
"content": "zh_CN",
|
229 |
+
"lstrip": false,
|
230 |
+
"normalized": false,
|
231 |
+
"rstrip": false,
|
232 |
+
"single_word": false,
|
233 |
+
"special": true
|
234 |
+
},
|
235 |
+
"250026": {
|
236 |
+
"content": "<mask>",
|
237 |
+
"lstrip": true,
|
238 |
+
"normalized": false,
|
239 |
+
"rstrip": false,
|
240 |
+
"single_word": false,
|
241 |
+
"special": true
|
242 |
+
}
|
243 |
+
},
|
244 |
+
"additional_special_tokens": [
|
245 |
+
"ar_AR",
|
246 |
+
"cs_CZ",
|
247 |
+
"de_DE",
|
248 |
+
"en_XX",
|
249 |
+
"es_XX",
|
250 |
+
"et_EE",
|
251 |
+
"fi_FI",
|
252 |
+
"fr_XX",
|
253 |
+
"gu_IN",
|
254 |
+
"hi_IN",
|
255 |
+
"it_IT",
|
256 |
+
"ja_XX",
|
257 |
+
"kk_KZ",
|
258 |
+
"ko_KR",
|
259 |
+
"lt_LT",
|
260 |
+
"lv_LV",
|
261 |
+
"my_MM",
|
262 |
+
"ne_NP",
|
263 |
+
"nl_XX",
|
264 |
+
"ro_RO",
|
265 |
+
"ru_RU",
|
266 |
+
"si_LK",
|
267 |
+
"tr_TR",
|
268 |
+
"vi_VN",
|
269 |
+
"zh_CN"
|
270 |
+
],
|
271 |
+
"bos_token": "<s>",
|
272 |
+
"clean_up_tokenization_spaces": true,
|
273 |
+
"cls_token": "<s>",
|
274 |
+
"eos_token": "</s>",
|
275 |
+
"mask_token": "<mask>",
|
276 |
+
"model_max_length": 1024,
|
277 |
+
"pad_token": "<pad>",
|
278 |
+
"sep_token": "</s>",
|
279 |
+
"sp_model_kwargs": {},
|
280 |
+
"src_lang": "en_XX",
|
281 |
+
"tgt_lang": null,
|
282 |
+
"tokenizer_class": "MBartTokenizer",
|
283 |
+
"unk_token": "<unk>"
|
284 |
+
}
|