floriangardin
commited on
Commit
•
87dcd5f
1
Parent(s):
c0006d3
Upload tokenizer
Browse files- README.md +201 -0
- special_tokens_map.json +51 -0
- tokenizer.json +566 -0
- tokenizer_config.json +80 -0
README.md
ADDED
@@ -0,0 +1,201 @@
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1 |
+
---
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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 +1,51 @@
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{
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"bos_token": {
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"content": "[START]",
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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": "[CLS]",
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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": "[END]",
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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": "[SEP]",
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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.json
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314 |
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
319 |
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|
320 |
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|
321 |
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|
322 |
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
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|
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|
334 |
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|
335 |
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|
336 |
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|
337 |
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|
338 |
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|
339 |
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|
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|
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|
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|
343 |
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|
344 |
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|
345 |
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|
346 |
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|
347 |
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|
348 |
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|
349 |
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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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|
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|
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|
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|
359 |
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|
360 |
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|
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|
362 |
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|
363 |
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|
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|
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|
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|
367 |
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|
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|
369 |
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|
370 |
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|
371 |
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|
372 |
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|
373 |
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|
374 |
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|
375 |
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|
376 |
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|
377 |
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|
378 |
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|
379 |
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|
380 |
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|
381 |
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|
382 |
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|
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|
384 |
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|
385 |
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|
386 |
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|
387 |
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|
388 |
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|
389 |
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|
390 |
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|
391 |
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|
392 |
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|
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|
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|
395 |
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|
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|
397 |
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|
398 |
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|
399 |
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|
400 |
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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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|
407 |
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|
408 |
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|
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|
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|
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|
412 |
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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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|
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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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|
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|
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|
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|
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|
430 |
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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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|
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|
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|
439 |
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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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|
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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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|
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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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|
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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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|
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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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|
475 |
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|
476 |
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|
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|
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|
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|
480 |
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|
481 |
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|
482 |
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|
483 |
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|
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|
485 |
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|
486 |
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|
487 |
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|
488 |
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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"NOTE_DURATION_NUM__35": 413,
|
493 |
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|
494 |
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|
495 |
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|
496 |
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|
497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
503 |
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|
504 |
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|
505 |
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|
506 |
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|
507 |
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|
508 |
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|
509 |
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|
510 |
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|
511 |
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|
512 |
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|
513 |
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|
514 |
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|
515 |
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|
516 |
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|
517 |
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|
518 |
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|
519 |
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|
520 |
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|
521 |
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|
522 |
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"INSTRUMENT_PART__144": 443,
|
523 |
+
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|
524 |
+
"INSTRUMENT_PART__147": 445,
|
525 |
+
"INSTRUMENT_PART__150": 446,
|
526 |
+
"INSTRUMENT_PART__157": 447,
|
527 |
+
"INSTRUMENT_PART__162": 448,
|
528 |
+
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|
529 |
+
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|
530 |
+
"INSTRUMENT_PART__142": 451,
|
531 |
+
"INSTRUMENT_PART__148": 452,
|
532 |
+
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|
533 |
+
"INSTRUMENT_PART__152": 454,
|
534 |
+
"INSTRUMENT_PART__154": 455,
|
535 |
+
"INSTRUMENT_PART__155": 456,
|
536 |
+
"INSTRUMENT_PART__160": 457,
|
537 |
+
"INSTRUMENT_PART__161": 458,
|
538 |
+
"INSTRUMENT_PART__163": 459,
|
539 |
+
"INSTRUMENT_PART__149": 460,
|
540 |
+
"INSTRUMENT_PART__153": 461,
|
541 |
+
"INSTRUMENT_PART__156": 462,
|
542 |
+
"NOTE_DURATION_NUM__45": 463,
|
543 |
+
"INSTRUMENT_PART__138": 464,
|
544 |
+
"INSTRUMENT_PART__139": 465,
|
545 |
+
"INSTRUMENT_PART__140": 466,
|
546 |
+
"INSTRUMENT_PART__158": 467,
|
547 |
+
"INSTRUMENT_PART__159": 468,
|
548 |
+
"CHORD_DURATION_NUM__22": 469,
|
549 |
+
"INSTRUMENT_PART__167": 470,
|
550 |
+
"INSTRUMENT_PART__168": 471,
|
551 |
+
"INSTRUMENT_PART__169": 472,
|
552 |
+
"INSTRUMENT_PART__170": 473,
|
553 |
+
"INSTRUMENT_PART__171": 474,
|
554 |
+
"INSTRUMENT_PART__172": 475,
|
555 |
+
"INSTRUMENT_PART__176": 476,
|
556 |
+
"INSTRUMENT_PART__164": 477,
|
557 |
+
"INSTRUMENT_PART__165": 478,
|
558 |
+
"INSTRUMENT_PART__166": 479,
|
559 |
+
"INSTRUMENT_PART__173": 480,
|
560 |
+
"INSTRUMENT_PART__174": 481,
|
561 |
+
"INSTRUMENT_PART__175": 482,
|
562 |
+
"NOTE_DURATION_NUM__52": 483
|
563 |
+
},
|
564 |
+
"unk_token": "[UNK]"
|
565 |
+
}
|
566 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"0": {
|
5 |
+
"content": "[UNK]",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"1": {
|
13 |
+
"content": "[CLS]",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"2": {
|
21 |
+
"content": "[SEP]",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
+
"3": {
|
29 |
+
"content": "[PAD]",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
},
|
36 |
+
"4": {
|
37 |
+
"content": "[MASK]",
|
38 |
+
"lstrip": false,
|
39 |
+
"normalized": false,
|
40 |
+
"rstrip": false,
|
41 |
+
"single_word": false,
|
42 |
+
"special": true
|
43 |
+
},
|
44 |
+
"5": {
|
45 |
+
"content": "[START]",
|
46 |
+
"lstrip": false,
|
47 |
+
"normalized": false,
|
48 |
+
"rstrip": false,
|
49 |
+
"single_word": false,
|
50 |
+
"special": true
|
51 |
+
},
|
52 |
+
"6": {
|
53 |
+
"content": "[END]",
|
54 |
+
"lstrip": false,
|
55 |
+
"normalized": false,
|
56 |
+
"rstrip": false,
|
57 |
+
"single_word": false,
|
58 |
+
"special": true
|
59 |
+
}
|
60 |
+
},
|
61 |
+
"bos_token": "[START]",
|
62 |
+
"bos_token_id": 5,
|
63 |
+
"clean_up_tokenization_spaces": true,
|
64 |
+
"cls_token": "[CLS]",
|
65 |
+
"cls_token_id": 1,
|
66 |
+
"eos_token": "[END]",
|
67 |
+
"eos_token_id": 6,
|
68 |
+
"mask_token": "[MASK]",
|
69 |
+
"mask_token_id": 4,
|
70 |
+
"model_max_len": 4096,
|
71 |
+
"model_max_length": 4096,
|
72 |
+
"pad_token": "[PAD]",
|
73 |
+
"pad_token_id": 3,
|
74 |
+
"seo_token_id": 2,
|
75 |
+
"sep_token": "[SEP]",
|
76 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
77 |
+
"type": "Split",
|
78 |
+
"unk_token": "[UNK]",
|
79 |
+
"unk_token_id": 0
|
80 |
+
}
|