ChlorophyllChampion
commited on
Commit
•
75af7e5
1
Parent(s):
e811e3b
Upload 12 files
Browse files- README.md +200 -1
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +1029 -0
- tokenizer_config.json +98 -0
- trainer_state.json +56 -0
- training_args.bin +3 -0
- vocab.txt +829 -0
README.md
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---
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library_name: peft
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base_model: state-spaces/mamba-1.4b-hf
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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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- **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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### Framework versions
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- PEFT 0.10.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "state-spaces/mamba-1.4b-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 8,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"in_proj",
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"embeddings",
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"x_proj",
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"out_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f495b010261b933752eca10301a312097565413fba9eec07c386452006f18b7d
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size 33416152
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:554db53941aba188854e9c707e676e0411d589460daf1fa3a6b7962863963c1a
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size 66998458
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e6bdf71b784d7fc380e872c2786bd835681df5b8b45ffd8a17dc718ecedc1d0
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a4c73e8e3f62c1b386ed1b274c0c557f9f49722dcd6ef8e801f8e856dd2235a
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size 1064
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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|
1 |
+
{
|
2 |
+
"version": "1.0",
|
3 |
+
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|
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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{
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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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"rstrip": false,
|
71 |
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|
72 |
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|
73 |
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|
74 |
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{
|
75 |
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"id": 7,
|
76 |
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|
77 |
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|
78 |
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|
79 |
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"rstrip": false,
|
80 |
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|
81 |
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"special": true
|
82 |
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},
|
83 |
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{
|
84 |
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|
85 |
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86 |
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87 |
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|
88 |
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89 |
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90 |
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91 |
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92 |
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{
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93 |
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94 |
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95 |
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96 |
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97 |
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|
98 |
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99 |
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100 |
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}
|
101 |
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|
102 |
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|
103 |
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"type": "BertNormalizer",
|
104 |
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|
105 |
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|
106 |
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107 |
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|
108 |
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|
109 |
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|
110 |
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"type": "BertPreTokenizer"
|
111 |
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|
112 |
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|
113 |
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"type": "TemplateProcessing",
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114 |
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115 |
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{
|
116 |
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117 |
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"id": "[CLS]",
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118 |
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119 |
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}
|
120 |
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121 |
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122 |
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123 |
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124 |
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|
125 |
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}
|
126 |
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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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}
|
133 |
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134 |
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|
135 |
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{
|
136 |
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137 |
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138 |
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139 |
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|
140 |
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141 |
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142 |
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143 |
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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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149 |
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150 |
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|
151 |
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}
|
152 |
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},
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153 |
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{
|
154 |
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|
155 |
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156 |
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157 |
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|
158 |
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|
159 |
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{
|
160 |
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161 |
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"id": "[SEP]",
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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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1
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171 |
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172 |
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173 |
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|
174 |
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|
175 |
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|
176 |
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|
177 |
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178 |
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179 |
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2
|
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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"decoder": {
|
188 |
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"type": "WordPiece",
|
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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220 |
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222 |
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223 |
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224 |
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227 |
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|
228 |
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|
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+
"##£": 492,
|
691 |
+
"##¥": 493,
|
692 |
+
"##§": 494,
|
693 |
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"##¯": 495,
|
694 |
+
"##µ": 496,
|
695 |
+
"##º": 497,
|
696 |
+
"##»": 498,
|
697 |
+
"##¿": 499,
|
698 |
+
"##À": 500,
|
699 |
+
"##Â": 501,
|
700 |
+
"##Ã": 502,
|
701 |
+
"##Ä": 503,
|
702 |
+
"##Å": 504,
|
703 |
+
"##Ç": 505,
|
704 |
+
"##Ë": 506,
|
705 |
+
"##Í": 507,
|
706 |
+
"##Î": 508,
|
707 |
+
"##Ï": 509,
|
708 |
+
"##Ñ": 510,
|
709 |
+
"##Ó": 511,
|
710 |
+
"##Ø": 512,
|
711 |
+
"##Ù": 513,
|
712 |
+
"##Ú": 514,
|
713 |
+
"##Ü": 515,
|
714 |
+
"##ß": 516,
|
715 |
+
"##à": 517,
|
716 |
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"##á": 518,
|
717 |
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"##â": 519,
|
718 |
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"##ã": 520,
|
719 |
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"##ä": 521,
|
720 |
+
"##å": 522,
|
721 |
+
"##æ": 523,
|
722 |
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"##ç": 524,
|
723 |
+
"##è": 525,
|
724 |
+
"##é": 526,
|
725 |
+
"##ê": 527,
|
726 |
+
"##ë": 528,
|
727 |
+
"##ì": 529,
|
728 |
+
"##í": 530,
|
729 |
+
"##î": 531,
|
730 |
+
"##ï": 532,
|
731 |
+
"##ñ": 533,
|
732 |
+
"##ò": 534,
|
733 |
+
"##ó": 535,
|
734 |
+
"##ô": 536,
|
735 |
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"##õ": 537,
|
736 |
+
"##ö": 538,
|
737 |
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"##ø": 539,
|
738 |
+
"##ù": 540,
|
739 |
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"##ú": 541,
|
740 |
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"##û": 542,
|
741 |
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"##ü": 543,
|
742 |
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"##ý": 544,
|
743 |
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"##þ": 545,
|
744 |
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"##ā": 546,
|
745 |
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"##ă": 547,
|
746 |
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"##ą": 548,
|
747 |
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"##ć": 549,
|
748 |
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"##č": 550,
|
749 |
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"##ď": 551,
|
750 |
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"##đ": 552,
|
751 |
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"##ē": 553,
|
752 |
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"##ĕ": 554,
|
753 |
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"##ė": 555,
|
754 |
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"##Ę": 556,
|
755 |
+
"##ę": 557,
|
756 |
+
"##ě": 558,
|
757 |
+
"##ġ": 559,
|
758 |
+
"##ģ": 560,
|
759 |
+
"##ĩ": 561,
|
760 |
+
"##ī": 562,
|
761 |
+
"##ĭ": 563,
|
762 |
+
"##İ": 564,
|
763 |
+
"##ı": 565,
|
764 |
+
"##ĵ": 566,
|
765 |
+
"##ķ": 567,
|
766 |
+
"##ĸ": 568,
|
767 |
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"##ĺ": 569,
|
768 |
+
"##ł": 570,
|
769 |
+
"##ń": 571,
|
770 |
+
"##ň": 572,
|
771 |
+
"##ʼn": 573,
|
772 |
+
"##ŋ": 574,
|
773 |
+
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|
774 |
+
"##ŏ": 576,
|
775 |
+
"##ő": 577,
|
776 |
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"##œ": 578,
|
777 |
+
"##ŕ": 579,
|
778 |
+
"##ŗ": 580,
|
779 |
+
"##Ř": 581,
|
780 |
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"##ř": 582,
|
781 |
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"##Ś": 583,
|
782 |
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"##ś": 584,
|
783 |
+
"##Ş": 585,
|
784 |
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"##ş": 586,
|
785 |
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"##š": 587,
|
786 |
+
"##ţ": 588,
|
787 |
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"##Ť": 589,
|
788 |
+
"##ť": 590,
|
789 |
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"##ũ": 591,
|
790 |
+
"##ū": 592,
|
791 |
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"##ŭ": 593,
|
792 |
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"##ű": 594,
|
793 |
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"##ų": 595,
|
794 |
+
"##ŵ": 596,
|
795 |
+
"##Ÿ": 597,
|
796 |
+
"##ż": 598,
|
797 |
+
"##ž": 599,
|
798 |
+
"##ƀ": 600,
|
799 |
+
"##Ɓ": 601,
|
800 |
+
"##Ƅ": 602,
|
801 |
+
"##ƅ": 603,
|
802 |
+
"##Ƈ": 604,
|
803 |
+
"##ƒ": 605,
|
804 |
+
"##ƙ": 606,
|
805 |
+
"##ƞ": 607,
|
806 |
+
"##Ƭ": 608,
|
807 |
+
"##Ư": 609,
|
808 |
+
"##Ƴ": 610,
|
809 |
+
"##Ǐ": 611,
|
810 |
+
"##Ƿ": 612,
|
811 |
+
"##ǹ": 613,
|
812 |
+
"##ȋ": 614,
|
813 |
+
"##ș": 615,
|
814 |
+
"##ț": 616,
|
815 |
+
"##ȧ": 617,
|
816 |
+
"##ȯ": 618,
|
817 |
+
"##Ʌ": 619,
|
818 |
+
"##ɑ": 620,
|
819 |
+
"##ɗ": 621,
|
820 |
+
"##ɠ": 622,
|
821 |
+
"##ɡ": 623,
|
822 |
+
"##ɢ": 624,
|
823 |
+
"##ɣ": 625,
|
824 |
+
"##ɩ": 626,
|
825 |
+
"##ɪ": 627,
|
826 |
+
"##ɭ": 628,
|
827 |
+
"##ɯ": 629,
|
828 |
+
"##ɱ": 630,
|
829 |
+
"##ɳ": 631,
|
830 |
+
"##ɴ": 632,
|
831 |
+
"##ɺ": 633,
|
832 |
+
"##ɼ": 634,
|
833 |
+
"##ɾ": 635,
|
834 |
+
"##ʀ": 636,
|
835 |
+
"##ʂ": 637,
|
836 |
+
"##ʄ": 638,
|
837 |
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"##ʋ": 639,
|
838 |
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"##ʌ": 640,
|
839 |
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"##ʍ": 641,
|
840 |
+
"##ʏ": 642,
|
841 |
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"##ʙ": 643,
|
842 |
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"##ʜ": 644,
|
843 |
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"##ʝ": 645,
|
844 |
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"##ʟ": 646,
|
845 |
+
"##ʨ": 647,
|
846 |
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"##˄": 648,
|
847 |
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"##Α": 649,
|
848 |
+
"##Β": 650,
|
849 |
+
"##Ε": 651,
|
850 |
+
"##Ζ": 652,
|
851 |
+
"##Η": 653,
|
852 |
+
"##Ι": 654,
|
853 |
+
"##Κ": 655,
|
854 |
+
"##Μ": 656,
|
855 |
+
"##Ν": 657,
|
856 |
+
"##Ο": 658,
|
857 |
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"##Ρ": 659,
|
858 |
+
"##Τ": 660,
|
859 |
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"##Υ": 661,
|
860 |
+
"##Χ": 662,
|
861 |
+
"##ί": 663,
|
862 |
+
"##α": 664,
|
863 |
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"##β": 665,
|
864 |
+
"##γ": 666,
|
865 |
+
"##η": 667,
|
866 |
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"##ι": 668,
|
867 |
+
"##κ": 669,
|
868 |
+
"##μ": 670,
|
869 |
+
"##ν": 671,
|
870 |
+
"##ο": 672,
|
871 |
+
"##π": 673,
|
872 |
+
"##ρ": 674,
|
873 |
+
"##σ": 675,
|
874 |
+
"##τ": 676,
|
875 |
+
"##υ": 677,
|
876 |
+
"##χ": 678,
|
877 |
+
"##ω": 679,
|
878 |
+
"##ϲ": 680,
|
879 |
+
"##ϳ": 681,
|
880 |
+
"##Ϲ": 682,
|
881 |
+
"##Ϻ": 683,
|
882 |
+
"##Ѕ": 684,
|
883 |
+
"##Ј": 685,
|
884 |
+
"##А": 686,
|
885 |
+
"##В": 687,
|
886 |
+
"##Е": 688,
|
887 |
+
"##З": 689,
|
888 |
+
"##К": 690,
|
889 |
+
"##М": 691,
|
890 |
+
"##Н": 692,
|
891 |
+
"##О": 693,
|
892 |
+
"##Р": 694,
|
893 |
+
"##С": 695,
|
894 |
+
"##Т": 696,
|
895 |
+
"##У": 697,
|
896 |
+
"##Х": 698,
|
897 |
+
"##Ь": 699,
|
898 |
+
"##а": 700,
|
899 |
+
"##в": 701,
|
900 |
+
"##г": 702,
|
901 |
+
"##д": 703,
|
902 |
+
"##е": 704,
|
903 |
+
"##и": 705,
|
904 |
+
"##к": 706,
|
905 |
+
"##л": 707,
|
906 |
+
"##н": 708,
|
907 |
+
"##о": 709,
|
908 |
+
"##п": 710,
|
909 |
+
"##р": 711,
|
910 |
+
"##с": 712,
|
911 |
+
"##т": 713,
|
912 |
+
"##у": 714,
|
913 |
+
"##х": 715,
|
914 |
+
"##ч": 716,
|
915 |
+
"##ш": 717,
|
916 |
+
"##щ": 718,
|
917 |
+
"##ѐ": 719,
|
918 |
+
"##ё": 720,
|
919 |
+
"##ѕ": 721,
|
920 |
+
"##і": 722,
|
921 |
+
"##ј": 723,
|
922 |
+
"##џ": 724,
|
923 |
+
"##ѡ": 725,
|
924 |
+
"##Ѵ": 726,
|
925 |
+
"##ѵ": 727,
|
926 |
+
"##ҏ": 728,
|
927 |
+
"##қ": 729,
|
928 |
+
"##ҡ": 730,
|
929 |
+
"##ң": 731,
|
930 |
+
"##ҥ": 732,
|
931 |
+
"##Ү": 733,
|
932 |
+
"##ү": 734,
|
933 |
+
"##ҳ": 735,
|
934 |
+
"##һ": 736,
|
935 |
+
"##ҽ": 737,
|
936 |
+
"##ӏ": 738,
|
937 |
+
"##ԁ": 739,
|
938 |
+
"##ԛ": 740,
|
939 |
+
"##Ա": 741,
|
940 |
+
"##Ի": 742,
|
941 |
+
"##Ս": 743,
|
942 |
+
"##Տ": 744,
|
943 |
+
"##Օ": 745,
|
944 |
+
"##ա": 746,
|
945 |
+
"##գ": 747,
|
946 |
+
"##զ": 748,
|
947 |
+
"##ժ": 749,
|
948 |
+
"##հ": 750,
|
949 |
+
"##յ": 751,
|
950 |
+
"##ս": 752,
|
951 |
+
"##օ": 753,
|
952 |
+
"##Ⴍ": 754,
|
953 |
+
"##Ⴓ": 755,
|
954 |
+
"##Ⴝ": 756,
|
955 |
+
"##Ꭰ": 757,
|
956 |
+
"##Ꭲ": 758,
|
957 |
+
"##Ꭵ": 759,
|
958 |
+
"##Ꭺ": 760,
|
959 |
+
"##Ꭻ": 761,
|
960 |
+
"##Ꮃ": 762,
|
961 |
+
"##Ꮇ": 763,
|
962 |
+
"##Ꮋ": 764,
|
963 |
+
"##Ꮐ": 765,
|
964 |
+
"##Ꮓ": 766,
|
965 |
+
"##Ꮢ": 767,
|
966 |
+
"##Ꮩ": 768,
|
967 |
+
"##Ꮪ": 769,
|
968 |
+
"##Ꮮ": 770,
|
969 |
+
"##Ꮯ": 771,
|
970 |
+
"##Ꮲ": 772,
|
971 |
+
"##Ꮶ": 773,
|
972 |
+
"##Ᏼ": 774,
|
973 |
+
"##ᚱ": 775,
|
974 |
+
"##ᛁ": 776,
|
975 |
+
"##ᛒ": 777,
|
976 |
+
"##ᛕ": 778,
|
977 |
+
"##ᛖ": 779,
|
978 |
+
"##ᴄ": 780,
|
979 |
+
"##ᴇ": 781,
|
980 |
+
"##ᴋ": 782,
|
981 |
+
"##ᴍ": 783,
|
982 |
+
"##ᴏ": 784,
|
983 |
+
"##ᴑ": 785,
|
984 |
+
"##ᴜ": 786,
|
985 |
+
"##ᴠ": 787,
|
986 |
+
"##ᴡ": 788,
|
987 |
+
"##ᴦ": 789,
|
988 |
+
"##ᴨ": 790,
|
989 |
+
"##ᴺ": 791,
|
990 |
+
"##ᴼ": 792,
|
991 |
+
"##ᴾ": 793,
|
992 |
+
"##ᴿ": 794,
|
993 |
+
"##ḟ": 795,
|
994 |
+
"##ḱ": 796,
|
995 |
+
"##ḿ": 797,
|
996 |
+
"##ṁ": 798,
|
997 |
+
"##ṅ": 799,
|
998 |
+
"##Ṛ": 800,
|
999 |
+
"##ṡ": 801,
|
1000 |
+
"##ẁ": 802,
|
1001 |
+
"##ẃ": 803,
|
1002 |
+
"##ẇ": 804,
|
1003 |
+
"##ἀ": 805,
|
1004 |
+
"##ἁ": 806,
|
1005 |
+
"##ἇ": 807,
|
1006 |
+
"##ἰ": 808,
|
1007 |
+
"##ἱ": 809,
|
1008 |
+
"##ἳ": 810,
|
1009 |
+
"##ὀ": 811,
|
1010 |
+
"##ὁ": 812,
|
1011 |
+
"##ὶ": 813,
|
1012 |
+
"##ί": 814,
|
1013 |
+
"##ῤ": 815,
|
1014 |
+
"##ῥ": 816,
|
1015 |
+
"##―": 817,
|
1016 |
+
"##₩": 818,
|
1017 |
+
"##€": 819,
|
1018 |
+
"##₿": 820,
|
1019 |
+
"##ℹ": 821,
|
1020 |
+
"##⋃": 822,
|
1021 |
+
"##𝘼": 823,
|
1022 |
+
"##𝘾": 824,
|
1023 |
+
"##𝘿": 825,
|
1024 |
+
"##𝙀": 826,
|
1025 |
+
"##𝙍": 827,
|
1026 |
+
"##𝙏": 828
|
1027 |
+
}
|
1028 |
+
}
|
1029 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[UNK]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "[CLS]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "[SEP]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "[PAD]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"4": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
},
|
43 |
+
"5": {
|
44 |
+
"content": "\u0001",
|
45 |
+
"lstrip": false,
|
46 |
+
"normalized": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"single_word": false,
|
49 |
+
"special": true
|
50 |
+
},
|
51 |
+
"6": {
|
52 |
+
"content": "\u0002",
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training_args.bin
ADDED
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1 |
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version https://git-lfs.github.com/spec/v1
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size 4856
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vocab.txt
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@@ -0,0 +1,829 @@
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|
1 |
+
[UNK]
|
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[CLS]
|
3 |
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[SEP]
|
4 |
+
[PAD]
|
5 |
+
[MASK]
|
6 |
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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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0
|
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1
|
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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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a
|
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b
|
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c
|
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d
|
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e
|
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f
|
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g
|
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h
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643 |
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##ʏ
|
644 |
+
##ʙ
|
645 |
+
##ʜ
|
646 |
+
##ʝ
|
647 |
+
##ʟ
|
648 |
+
##ʨ
|
649 |
+
##˄
|
650 |
+
##Α
|
651 |
+
##Β
|
652 |
+
##Ε
|
653 |
+
##Ζ
|
654 |
+
##Η
|
655 |
+
##Ι
|
656 |
+
##Κ
|
657 |
+
##Μ
|
658 |
+
##Ν
|
659 |
+
##Ο
|
660 |
+
##Ρ
|
661 |
+
##Τ
|
662 |
+
##Υ
|
663 |
+
##Χ
|
664 |
+
##ί
|
665 |
+
##α
|
666 |
+
##β
|
667 |
+
##γ
|
668 |
+
##η
|
669 |
+
##ι
|
670 |
+
##κ
|
671 |
+
##μ
|
672 |
+
##ν
|
673 |
+
##ο
|
674 |
+
##π
|
675 |
+
##ρ
|
676 |
+
##σ
|
677 |
+
##τ
|
678 |
+
##υ
|
679 |
+
##χ
|
680 |
+
##ω
|
681 |
+
##ϲ
|
682 |
+
##ϳ
|
683 |
+
##Ϲ
|
684 |
+
##Ϻ
|
685 |
+
##Ѕ
|
686 |
+
##Ј
|
687 |
+
##А
|
688 |
+
##В
|
689 |
+
##Е
|
690 |
+
##З
|
691 |
+
##К
|
692 |
+
##М
|
693 |
+
##Н
|
694 |
+
##О
|
695 |
+
##Р
|
696 |
+
##С
|
697 |
+
##Т
|
698 |
+
##У
|
699 |
+
##Х
|
700 |
+
##Ь
|
701 |
+
##а
|
702 |
+
##в
|
703 |
+
##г
|
704 |
+
##д
|
705 |
+
##е
|
706 |
+
##и
|
707 |
+
##к
|
708 |
+
##л
|
709 |
+
##н
|
710 |
+
##о
|
711 |
+
##п
|
712 |
+
##р
|
713 |
+
##с
|
714 |
+
##т
|
715 |
+
##у
|
716 |
+
##х
|
717 |
+
##ч
|
718 |
+
##ш
|
719 |
+
##щ
|
720 |
+
##ѐ
|
721 |
+
##ё
|
722 |
+
##ѕ
|
723 |
+
##і
|
724 |
+
##ј
|
725 |
+
##џ
|
726 |
+
##ѡ
|
727 |
+
##Ѵ
|
728 |
+
##ѵ
|
729 |
+
##ҏ
|
730 |
+
##қ
|
731 |
+
##ҡ
|
732 |
+
##ң
|
733 |
+
##ҥ
|
734 |
+
##Ү
|
735 |
+
##ү
|
736 |
+
##ҳ
|
737 |
+
##һ
|
738 |
+
##ҽ
|
739 |
+
##ӏ
|
740 |
+
##ԁ
|
741 |
+
##ԛ
|
742 |
+
##Ա
|
743 |
+
##Ի
|
744 |
+
##Ս
|
745 |
+
##Տ
|
746 |
+
##Օ
|
747 |
+
##ա
|
748 |
+
##գ
|
749 |
+
##զ
|
750 |
+
##ժ
|
751 |
+
##հ
|
752 |
+
##յ
|
753 |
+
##ս
|
754 |
+
##օ
|
755 |
+
##Ⴍ
|
756 |
+
##Ⴓ
|
757 |
+
##Ⴝ
|
758 |
+
##Ꭰ
|
759 |
+
##Ꭲ
|
760 |
+
##Ꭵ
|
761 |
+
##Ꭺ
|
762 |
+
##Ꭻ
|
763 |
+
##Ꮃ
|
764 |
+
##Ꮇ
|
765 |
+
##Ꮋ
|
766 |
+
##Ꮐ
|
767 |
+
##Ꮓ
|
768 |
+
##Ꮢ
|
769 |
+
##Ꮩ
|
770 |
+
##Ꮪ
|
771 |
+
##Ꮮ
|
772 |
+
##Ꮯ
|
773 |
+
##Ꮲ
|
774 |
+
##Ꮶ
|
775 |
+
##Ᏼ
|
776 |
+
##ᚱ
|
777 |
+
##ᛁ
|
778 |
+
##ᛒ
|
779 |
+
##ᛕ
|
780 |
+
##ᛖ
|
781 |
+
##ᴄ
|
782 |
+
##ᴇ
|
783 |
+
##ᴋ
|
784 |
+
##ᴍ
|
785 |
+
##ᴏ
|
786 |
+
##ᴑ
|
787 |
+
##ᴜ
|
788 |
+
##ᴠ
|
789 |
+
##ᴡ
|
790 |
+
##ᴦ
|
791 |
+
##ᴨ
|
792 |
+
##ᴺ
|
793 |
+
##ᴼ
|
794 |
+
##ᴾ
|
795 |
+
##ᴿ
|
796 |
+
##ḟ
|
797 |
+
##ḱ
|
798 |
+
##ḿ
|
799 |
+
##ṁ
|
800 |
+
##ṅ
|
801 |
+
##Ṛ
|
802 |
+
##ṡ
|
803 |
+
##ẁ
|
804 |
+
##ẃ
|
805 |
+
##ẇ
|
806 |
+
##ἀ
|
807 |
+
##ἁ
|
808 |
+
##ἇ
|
809 |
+
##ἰ
|
810 |
+
##ἱ
|
811 |
+
##ἳ
|
812 |
+
##ὀ
|
813 |
+
##ὁ
|
814 |
+
##ὶ
|
815 |
+
##ί
|
816 |
+
##ῤ
|
817 |
+
##ῥ
|
818 |
+
##―
|
819 |
+
##₩
|
820 |
+
##€
|
821 |
+
##₿
|
822 |
+
##ℹ
|
823 |
+
##⋃
|
824 |
+
##𝘼
|
825 |
+
##𝘾
|
826 |
+
##𝘿
|
827 |
+
##𝙀
|
828 |
+
##𝙍
|
829 |
+
##𝙏
|