Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2063 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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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_of_text|>",
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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": "<|end_of_text|>"
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}
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tokenizer.json
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"144782": {
|
4 |
+
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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|
46 |
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|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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63 |
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|
64 |
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|
65 |
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66 |
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|
67 |
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|
68 |
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69 |
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70 |
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71 |
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73 |
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74 |
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75 |
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|
76 |
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|
77 |
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82 |
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|
83 |
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|
84 |
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92 |
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|
100 |
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104 |
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106 |
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107 |
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108 |
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112 |
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113 |
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114 |
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115 |
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116 |
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122 |
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123 |
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124 |
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|
125 |
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127 |
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128 |
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129 |
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130 |
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131 |
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|
132 |
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138 |
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139 |
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140 |
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144 |
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145 |
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146 |
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147 |
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|
148 |
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152 |
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154 |
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155 |
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156 |
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160 |
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161 |
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162 |
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163 |
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164 |
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165 |
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166 |
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167 |
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168 |
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169 |
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170 |
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171 |
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|
172 |
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173 |
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174 |
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176 |
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177 |
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178 |
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179 |
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180 |
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181 |
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182 |
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183 |
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184 |
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185 |
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186 |
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187 |
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|
188 |
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189 |
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190 |
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191 |
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192 |
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193 |
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194 |
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195 |
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196 |
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197 |
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198 |
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199 |
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200 |
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|
201 |
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202 |
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203 |
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|
204 |
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205 |
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206 |
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207 |
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|
208 |
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|
209 |
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|
210 |
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|
211 |
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|
212 |
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|
213 |
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|
214 |
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|
215 |
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|
216 |
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|
217 |
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218 |
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|
219 |
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|
220 |
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|
221 |
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222 |
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223 |
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224 |
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225 |
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226 |
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|
227 |
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|
228 |
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|
229 |
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|
230 |
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|
231 |
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232 |
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|
233 |
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|
234 |
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235 |
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|
236 |
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|
237 |
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238 |
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239 |
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240 |
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241 |
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242 |
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243 |
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|
244 |
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245 |
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246 |
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249 |
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250 |
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251 |
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|
252 |
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253 |
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254 |
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255 |
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256 |
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257 |
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258 |
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259 |
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|
260 |
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261 |
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262 |
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265 |
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266 |
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267 |
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268 |
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|
269 |
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270 |
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271 |
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273 |
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274 |
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275 |
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|
276 |
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281 |
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282 |
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284 |
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285 |
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286 |
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288 |
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289 |
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290 |
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291 |
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|
292 |
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293 |
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294 |
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296 |
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297 |
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298 |
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299 |
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|
300 |
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|
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302 |
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304 |
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305 |
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306 |
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308 |
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312 |
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313 |
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314 |
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315 |
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|
316 |
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|
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318 |
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320 |
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321 |
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323 |
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|
324 |
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326 |
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328 |
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329 |
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330 |
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331 |
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332 |
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340 |
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342 |
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344 |
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345 |
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346 |
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348 |
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349 |
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350 |
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352 |
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353 |
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354 |
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356 |
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385 |
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386 |
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387 |
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|
388 |
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"content": "<|reserved_special_token_209|>",
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"content": "<|reserved_special_token_210|>",
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"content": "<|reserved_special_token_211|>",
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"content": "<|reserved_special_token_213|>",
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"content": "<|reserved_special_token_214|>",
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"content": "<|reserved_special_token_216|>",
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},
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"content": "<|reserved_special_token_221|>",
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},
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"content": "<|reserved_special_token_222|>",
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},
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1828 |
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"content": "<|reserved_special_token_223|>",
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},
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"145011": {
|
1836 |
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"content": "<|reserved_special_token_224|>",
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},
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"content": "<|reserved_special_token_225|>",
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"content": "<|reserved_special_token_226|>",
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"content": "<|reserved_special_token_231|>",
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},
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"content": "<|reserved_special_token_232|>",
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},
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},
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},
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},
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"content": "<|reserved_special_token_237|>",
|
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},
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"content": "<|reserved_special_token_238|>",
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
1952 |
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"single_word": false,
|
1953 |
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},
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1955 |
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"145026": {
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1956 |
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"content": "<|reserved_special_token_239|>",
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1957 |
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1958 |
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"normalized": false,
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"rstrip": false,
|
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"single_word": false,
|
1961 |
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},
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1964 |
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"content": "<|reserved_special_token_240|>",
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},
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1972 |
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"content": "<|reserved_special_token_241|>",
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},
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|
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"content": "<|reserved_special_token_242|>",
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"lstrip": false,
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"normalized": false,
|
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"rstrip": false,
|
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},
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|
1988 |
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"content": "<|reserved_special_token_243|>",
|
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"rstrip": false,
|
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|
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},
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1996 |
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"content": "<|reserved_special_token_244|>",
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"rstrip": false,
|
2000 |
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"single_word": false,
|
2001 |
+
"special": true
|
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},
|
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|
2004 |
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"content": "<|reserved_special_token_245|>",
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2006 |
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|
2008 |
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|
2009 |
+
"special": true
|
2010 |
+
},
|
2011 |
+
"145033": {
|
2012 |
+
"content": "<|reserved_special_token_246|>",
|
2013 |
+
"lstrip": false,
|
2014 |
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"normalized": false,
|
2015 |
+
"rstrip": false,
|
2016 |
+
"single_word": false,
|
2017 |
+
"special": true
|
2018 |
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},
|
2019 |
+
"145034": {
|
2020 |
+
"content": "<|reserved_special_token_247|>",
|
2021 |
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"lstrip": false,
|
2022 |
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|
2023 |
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|
2024 |
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|
2025 |
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|
2026 |
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},
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|
2028 |
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"content": "<|reserved_special_token_248|>",
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2029 |
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"lstrip": false,
|
2030 |
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"normalized": false,
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2031 |
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"rstrip": false,
|
2032 |
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2033 |
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"special": true
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2034 |
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},
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2035 |
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"145036": {
|
2036 |
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"content": "<|reserved_special_token_249|>",
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2037 |
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"lstrip": false,
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2038 |
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"normalized": false,
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2039 |
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"rstrip": false,
|
2040 |
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"single_word": false,
|
2041 |
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"special": true
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2042 |
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},
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2043 |
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"145037": {
|
2044 |
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"content": "<|reserved_special_token_250|>",
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2045 |
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2046 |
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"normalized": false,
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2047 |
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"rstrip": false,
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2048 |
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"single_word": false,
|
2049 |
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"special": true
|
2050 |
+
}
|
2051 |
+
},
|
2052 |
+
"bos_token": "<|begin_of_text|>",
|
2053 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
2054 |
+
"clean_up_tokenization_spaces": true,
|
2055 |
+
"eos_token": "<|end_of_text|>",
|
2056 |
+
"model_input_names": [
|
2057 |
+
"input_ids",
|
2058 |
+
"attention_mask"
|
2059 |
+
],
|
2060 |
+
"model_max_length": 1000000000000000019884624838656,
|
2061 |
+
"pad_token": "<|end_of_text|>",
|
2062 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
2063 |
+
}
|