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Upload tokenizer

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  1. README.md +199 -0
  2. special_tokens_map.json +27 -0
  3. tokenizer.json +1159 -0
  4. tokenizer_config.json +70 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 馃 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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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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+
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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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+
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+ ## Uses
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+
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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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+
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+ ### Direct Use
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+
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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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+
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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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+
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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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+
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+ ## Bias, Risks, and Limitations
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+ [More Information Needed]
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+
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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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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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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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+
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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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+
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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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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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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+ **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]
special_tokens_map.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "additional_special_tokens": [
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+ "<start_of_turn>",
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+ "<end_of_turn>"
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+ ],
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+ "eos_token": {
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+ "content": "<eos>",
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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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+ "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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+ }
tokenizer.json ADDED
@@ -0,0 +1,1159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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": 256,
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+ }
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+ ],
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+ "normalizer": null,
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+ "type": "ByteLevel",
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+ "add_prefix_space": false,
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+ ],
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+ "special_tokens": {}
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+ },
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+ "decoder": {
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+ "type": "ByteLevel",
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+ "add_prefix_space": true,
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+ "trim_offsets": true,
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+ "use_regex": true
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+ },
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+ "model": {
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+ "type": "Unigram",
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+ "unk_id": null,
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+ "vocab": [
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+ [
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+ "膧",
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+ 0.0
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+ ],
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+ [
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462
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463
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464
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465
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467
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468
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469
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471
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472
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473
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481
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493
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496
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497
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501
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516
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517
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521
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525
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528
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529
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533
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536
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537
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540
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541
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544
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545
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547
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548
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549
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551
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552
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553
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556
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557
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558
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559
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560
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561
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562
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563
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564
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
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580
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581
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583
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584
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585
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586
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587
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588
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589
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590
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591
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592
+ [
593
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595
+ ],
596
+ [
597
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598
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599
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600
+ [
601
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602
+ 0.0
603
+ ],
604
+ [
605
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606
+ 0.0
607
+ ],
608
+ [
609
+ "~",
610
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611
+ ],
612
+ [
613
+ "摹",
614
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615
+ ],
616
+ [
617
+ "蘑",
618
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619
+ ],
620
+ [
621
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622
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623
+ ],
624
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625
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626
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627
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628
+ [
629
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630
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631
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632
+ [
633
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634
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635
+ ],
636
+ [
637
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638
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639
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640
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641
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642
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643
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644
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645
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646
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647
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648
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649
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650
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651
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652
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653
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654
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655
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656
+ [
657
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658
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659
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660
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661
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662
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663
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664
+ [
665
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666
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667
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668
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669
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670
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671
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672
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673
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674
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675
+ ],
676
+ [
677
+ "谋",
678
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679
+ ],
680
+ [
681
+ "牟",
682
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683
+ ],
684
+ [
685
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686
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687
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688
+ [
689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
+ ],
700
+ [
701
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702
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703
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704
+ [
705
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706
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707
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708
+ [
709
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710
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711
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712
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713
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714
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715
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716
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717
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718
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719
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720
+ [
721
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722
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723
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724
+ [
725
+ "慕",
726
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727
+ ],
728
+ [
729
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730
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731
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732
+ [
733
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734
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735
+ ],
736
+ [
737
+ "艀",
738
+ 0.0
739
+ ],
740
+ [
741
+ "艁",
742
+ 0.0
743
+ ],
744
+ [
745
+ "艂",
746
+ 0.0
747
+ ],
748
+ [
749
+ "隆",
750
+ 0.0
751
+ ],
752
+ [
753
+ "垄",
754
+ 0.0
755
+ ],
756
+ [
757
+ "拢",
758
+ 0.0
759
+ ],
760
+ [
761
+ "陇",
762
+ 0.0
763
+ ],
764
+ [
765
+ "楼",
766
+ 0.0
767
+ ],
768
+ [
769
+ "娄",
770
+ 0.0
771
+ ],
772
+ [
773
+ "搂",
774
+ 0.0
775
+ ],
776
+ [
777
+ "篓",
778
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779
+ ],
780
+ [
781
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782
+ 0.0
783
+ ],
784
+ [
785
+ "陋",
786
+ 0.0
787
+ ],
788
+ [
789
+ "芦",
790
+ 0.0
791
+ ],
792
+ [
793
+ "卢",
794
+ 0.0
795
+ ],
796
+ [
797
+ "艃",
798
+ 0.0
799
+ ],
800
+ [
801
+ "庐",
802
+ 0.0
803
+ ],
804
+ [
805
+ "炉",
806
+ 0.0
807
+ ],
808
+ [
809
+ "掳",
810
+ 0.0
811
+ ],
812
+ [
813
+ "卤",
814
+ 0.0
815
+ ],
816
+ [
817
+ "虏",
818
+ 0.0
819
+ ],
820
+ [
821
+ "鲁",
822
+ 0.0
823
+ ],
824
+ [
825
+ "麓",
826
+ 0.0
827
+ ],
828
+ [
829
+ "碌",
830
+ 0.0
831
+ ],
832
+ [
833
+ "露",
834
+ 0.0
835
+ ],
836
+ [
837
+ "路",
838
+ 0.0
839
+ ],
840
+ [
841
+ "赂",
842
+ 0.0
843
+ ],
844
+ [
845
+ "鹿",
846
+ 0.0
847
+ ],
848
+ [
849
+ "潞",
850
+ 0.0
851
+ ],
852
+ [
853
+ "禄",
854
+ 0.0
855
+ ],
856
+ [
857
+ "录",
858
+ 0.0
859
+ ],
860
+ [
861
+ "陆",
862
+ 0.0
863
+ ],
864
+ [
865
+ "戮",
866
+ 0.0
867
+ ],
868
+ [
869
+ "驴",
870
+ 0.0
871
+ ],
872
+ [
873
+ "脌",
874
+ 0.0
875
+ ],
876
+ [
877
+ "脕",
878
+ 0.0
879
+ ],
880
+ [
881
+ "脗",
882
+ 0.0
883
+ ],
884
+ [
885
+ "脙",
886
+ 0.0
887
+ ],
888
+ [
889
+ "脛",
890
+ 0.0
891
+ ],
892
+ [
893
+ "脜",
894
+ 0.0
895
+ ],
896
+ [
897
+ "脝",
898
+ 0.0
899
+ ],
900
+ [
901
+ "脟",
902
+ 0.0
903
+ ],
904
+ [
905
+ "脠",
906
+ 0.0
907
+ ],
908
+ [
909
+ "脡",
910
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911
+ ],
912
+ [
913
+ "脢",
914
+ 0.0
915
+ ],
916
+ [
917
+ "脣",
918
+ 0.0
919
+ ],
920
+ [
921
+ "脤",
922
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923
+ ],
924
+ [
925
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926
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927
+ ],
928
+ [
929
+ "脦",
930
+ 0.0
931
+ ],
932
+ [
933
+ "脧",
934
+ 0.0
935
+ ],
936
+ [
937
+ "脨",
938
+ 0.0
939
+ ],
940
+ [
941
+ "脩",
942
+ 0.0
943
+ ],
944
+ [
945
+ "脪",
946
+ 0.0
947
+ ],
948
+ [
949
+ "脫",
950
+ 0.0
951
+ ],
952
+ [
953
+ "脭",
954
+ 0.0
955
+ ],
956
+ [
957
+ "脮",
958
+ 0.0
959
+ ],
960
+ [
961
+ "脰",
962
+ 0.0
963
+ ],
964
+ [
965
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966
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967
+ ],
968
+ [
969
+ "脴",
970
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971
+ ],
972
+ [
973
+ "脵",
974
+ 0.0
975
+ ],
976
+ [
977
+ "脷",
978
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979
+ ],
980
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981
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982
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983
+ ],
984
+ [
985
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986
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987
+ ],
988
+ [
989
+ "脻",
990
+ 0.0
991
+ ],
992
+ [
993
+ "脼",
994
+ 0.0
995
+ ],
996
+ [
997
+ "脽",
998
+ 0.0
999
+ ],
1000
+ [
1001
+ "脿",
1002
+ 0.0
1003
+ ],
1004
+ [
1005
+ "谩",
1006
+ 0.0
1007
+ ],
1008
+ [
1009
+ "芒",
1010
+ 0.0
1011
+ ],
1012
+ [
1013
+ "茫",
1014
+ 0.0
1015
+ ],
1016
+ [
1017
+ "盲",
1018
+ 0.0
1019
+ ],
1020
+ [
1021
+ "氓",
1022
+ 0.0
1023
+ ],
1024
+ [
1025
+ "忙",
1026
+ 0.0
1027
+ ],
1028
+ [
1029
+ "莽",
1030
+ 0.0
1031
+ ],
1032
+ [
1033
+ "猫",
1034
+ 0.0
1035
+ ],
1036
+ [
1037
+ "茅",
1038
+ 0.0
1039
+ ],
1040
+ [
1041
+ "锚",
1042
+ 0.0
1043
+ ],
1044
+ [
1045
+ "毛",
1046
+ 0.0
1047
+ ],
1048
+ [
1049
+ "矛",
1050
+ 0.0
1051
+ ],
1052
+ [
1053
+ "铆",
1054
+ 0.0
1055
+ ],
1056
+ [
1057
+ "卯",
1058
+ 0.0
1059
+ ],
1060
+ [
1061
+ "茂",
1062
+ 0.0
1063
+ ],
1064
+ [
1065
+ "冒",
1066
+ 0.0
1067
+ ],
1068
+ [
1069
+ "帽",
1070
+ 0.0
1071
+ ],
1072
+ [
1073
+ "貌",
1074
+ 0.0
1075
+ ],
1076
+ [
1077
+ "贸",
1078
+ 0.0
1079
+ ],
1080
+ [
1081
+ "么",
1082
+ 0.0
1083
+ ],
1084
+ [
1085
+ "玫",
1086
+ 0.0
1087
+ ],
1088
+ [
1089
+ "枚",
1090
+ 0.0
1091
+ ],
1092
+ [
1093
+ "梅",
1094
+ 0.0
1095
+ ],
1096
+ [
1097
+ "酶",
1098
+ 0.0
1099
+ ],
1100
+ [
1101
+ "霉",
1102
+ 0.0
1103
+ ],
1104
+ [
1105
+ "煤",
1106
+ 0.0
1107
+ ],
1108
+ [
1109
+ "没",
1110
+ 0.0
1111
+ ],
1112
+ [
1113
+ "眉",
1114
+ 0.0
1115
+ ],
1116
+ [
1117
+ "媒",
1118
+ 0.0
1119
+ ],
1120
+ [
1121
+ "镁",
1122
+ 0.0
1123
+ ],
1124
+ [
1125
+ "每",
1126
+ 0.0
1127
+ ],
1128
+ [
1129
+ "<bos>",
1130
+ 0.0
1131
+ ],
1132
+ [
1133
+ "<end_of_turn>",
1134
+ 0.0
1135
+ ],
1136
+ [
1137
+ "<eos>",
1138
+ 0.0
1139
+ ],
1140
+ [
1141
+ "<pad>",
1142
+ 0.0
1143
+ ],
1144
+ [
1145
+ "<start_of_turn>",
1146
+ 0.0
1147
+ ],
1148
+ [
1149
+ "model",
1150
+ 0.0
1151
+ ],
1152
+ [
1153
+ "user",
1154
+ 0.0
1155
+ ]
1156
+ ],
1157
+ "byte_fallback": false
1158
+ }
1159
+ }
tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": null,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "256": {
6
+ "content": "<bos>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "257": {
14
+ "content": "<end_of_turn>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "258": {
22
+ "content": "<eos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "259": {
30
+ "content": "<pad>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "260": {
38
+ "content": "<start_of_turn>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "263": {
46
+ "content": "<unk>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [
55
+ "<start_of_turn>",
56
+ "<end_of_turn>"
57
+ ],
58
+ "bos_token": null,
59
+ "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
60
+ "clean_up_tokenization_spaces": false,
61
+ "eos_token": "<eos>",
62
+ "extra_special_tokens": {},
63
+ "model_max_length": 1000000000000000019884624838656,
64
+ "pad_token": "<pad>",
65
+ "sp_model_kwargs": {},
66
+ "spaces_between_special_tokens": false,
67
+ "tokenizer_class": "GemmaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }