Commit
•
d5d540a
1
Parent(s):
31fa8f1
Upload tokenizer
Browse files- README.md +201 -0
- added_tokens.json +40 -0
- merges.txt +0 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +323 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,201 @@
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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added_tokens.json
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{
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"\t\t": 50294,
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"\t\t\t": 50293,
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"\t\t\t\t": 50292,
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"\t\t\t\t\t": 50291,
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"\t\t\t\t\t\t": 50290,
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"\t\t\t\t\t\t\t": 50289,
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"\t\t\t\t\t\t\t\t": 50288,
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"\t\t\t\t\t\t\t\t\t": 50287,
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" ": 50286,
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" ": 50257
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}
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merges.txt
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|endoftext|>",
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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": "<|endoftext|>",
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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": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"50256": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"50257": {
|
13 |
+
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|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
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|
17 |
+
"single_word": false,
|
18 |
+
"special": false
|
19 |
+
},
|
20 |
+
"50258": {
|
21 |
+
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|
22 |
+
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|
23 |
+
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|
24 |
+
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|
25 |
+
"single_word": false,
|
26 |
+
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|
27 |
+
},
|
28 |
+
"50259": {
|
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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"50260": {
|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
+
"single_word": false,
|
42 |
+
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|
43 |
+
},
|
44 |
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"50261": {
|
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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"50262": {
|
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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"50263": {
|
61 |
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|
62 |
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|
63 |
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|
64 |
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|
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|
66 |
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|
67 |
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|
68 |
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"50264": {
|
69 |
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|
70 |
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|
71 |
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|
72 |
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|
73 |
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"single_word": false,
|
74 |
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|
75 |
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|
76 |
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"50265": {
|
77 |
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|
78 |
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|
79 |
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|
80 |
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|
81 |
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"single_word": false,
|
82 |
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"special": false
|
83 |
+
},
|
84 |
+
"50266": {
|
85 |
+
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|
86 |
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|
87 |
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|
88 |
+
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|
89 |
+
"single_word": false,
|
90 |
+
"special": false
|
91 |
+
},
|
92 |
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"50267": {
|
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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"single_word": false,
|
98 |
+
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|
99 |
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},
|
100 |
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"50268": {
|
101 |
+
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|
102 |
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|
103 |
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|
104 |
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"rstrip": false,
|
105 |
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|
106 |
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|
107 |
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|
108 |
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"50269": {
|
109 |
+
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|
110 |
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|
111 |
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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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"50270": {
|
117 |
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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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"50271": {
|
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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"50272": {
|
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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"50273": {
|
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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"50274": {
|
149 |
+
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|
150 |
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|
151 |
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|
152 |
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|
153 |
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|
154 |
+
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|
155 |
+
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|
156 |
+
"50275": {
|
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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|
162 |
+
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|
163 |
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|
164 |
+
"50276": {
|
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 |
+
"50277": {
|
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 |
+
},
|
180 |
+
"50278": {
|
181 |
+
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|
182 |
+
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|
183 |
+
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|
184 |
+
"rstrip": false,
|
185 |
+
"single_word": false,
|
186 |
+
"special": false
|
187 |
+
},
|
188 |
+
"50279": {
|
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 |
+
},
|
196 |
+
"50280": {
|
197 |
+
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|
198 |
+
"lstrip": false,
|
199 |
+
"normalized": true,
|
200 |
+
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|
201 |
+
"single_word": false,
|
202 |
+
"special": false
|
203 |
+
},
|
204 |
+
"50281": {
|
205 |
+
"content": " ",
|
206 |
+
"lstrip": false,
|
207 |
+
"normalized": true,
|
208 |
+
"rstrip": false,
|
209 |
+
"single_word": false,
|
210 |
+
"special": false
|
211 |
+
},
|
212 |
+
"50282": {
|
213 |
+
"content": " ",
|
214 |
+
"lstrip": false,
|
215 |
+
"normalized": true,
|
216 |
+
"rstrip": false,
|
217 |
+
"single_word": false,
|
218 |
+
"special": false
|
219 |
+
},
|
220 |
+
"50283": {
|
221 |
+
"content": " ",
|
222 |
+
"lstrip": false,
|
223 |
+
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|
224 |
+
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|
225 |
+
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|
226 |
+
"special": false
|
227 |
+
},
|
228 |
+
"50284": {
|
229 |
+
"content": " ",
|
230 |
+
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|
231 |
+
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|
232 |
+
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|
233 |
+
"single_word": false,
|
234 |
+
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|
235 |
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},
|
236 |
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"50285": {
|
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 |
+
"50286": {
|
245 |
+
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|
246 |
+
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|
247 |
+
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|
248 |
+
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|
249 |
+
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|
250 |
+
"special": false
|
251 |
+
},
|
252 |
+
"50287": {
|
253 |
+
"content": "\t\t\t\t\t\t\t\t\t",
|
254 |
+
"lstrip": false,
|
255 |
+
"normalized": true,
|
256 |
+
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|
257 |
+
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|
258 |
+
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|
259 |
+
},
|
260 |
+
"50288": {
|
261 |
+
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|
262 |
+
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|
263 |
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|
264 |
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|
265 |
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|
266 |
+
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|
267 |
+
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|
268 |
+
"50289": {
|
269 |
+
"content": "\t\t\t\t\t\t\t",
|
270 |
+
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|
271 |
+
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|
272 |
+
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|
273 |
+
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|
274 |
+
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|
275 |
+
},
|
276 |
+
"50290": {
|
277 |
+
"content": "\t\t\t\t\t\t",
|
278 |
+
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|
279 |
+
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|
280 |
+
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|
281 |
+
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|
282 |
+
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|
283 |
+
},
|
284 |
+
"50291": {
|
285 |
+
"content": "\t\t\t\t\t",
|
286 |
+
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|
287 |
+
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|
288 |
+
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|
289 |
+
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|
290 |
+
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|
291 |
+
},
|
292 |
+
"50292": {
|
293 |
+
"content": "\t\t\t\t",
|
294 |
+
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|
295 |
+
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|
296 |
+
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|
297 |
+
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|
298 |
+
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|
299 |
+
},
|
300 |
+
"50293": {
|
301 |
+
"content": "\t\t\t",
|
302 |
+
"lstrip": false,
|
303 |
+
"normalized": true,
|
304 |
+
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|
305 |
+
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|
306 |
+
"special": false
|
307 |
+
},
|
308 |
+
"50294": {
|
309 |
+
"content": "\t\t",
|
310 |
+
"lstrip": false,
|
311 |
+
"normalized": true,
|
312 |
+
"rstrip": false,
|
313 |
+
"single_word": false,
|
314 |
+
"special": false
|
315 |
+
}
|
316 |
+
},
|
317 |
+
"bos_token": "<|endoftext|>",
|
318 |
+
"clean_up_tokenization_spaces": true,
|
319 |
+
"eos_token": "<|endoftext|>",
|
320 |
+
"model_max_length": 2048,
|
321 |
+
"tokenizer_class": "CodeGenTokenizer",
|
322 |
+
"unk_token": "<|endoftext|>"
|
323 |
+
}
|
vocab.json
ADDED
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|
|