Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +2 -1
- special_tokens_map.json +122 -10
- tokenizer.json +24 -3
- tokenizer_config.json +0 -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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added_tokens.json
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{
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" ":
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"$$": 32100,
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";;": 32638,
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"\\AA": 32101,
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"\\xrightarrow": 32635,
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"\\your": 32636,
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"{": 32639,
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}
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{
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" ": 32642,
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"$$": 32100,
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";;": 32638,
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"\\AA": 32101,
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"\\xrightarrow": 32635,
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"\\your": 32636,
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"\\zeta": 32637,
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"^": 32641,
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"{": 32639,
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"}": 32640
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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],
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"eos_token":
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}
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{
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"additional_special_tokens": [
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" ",
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"eos_token": {
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"content": "</s>",
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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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"content": "<pad>",
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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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|
120 |
+
"content": "<unk>",
|
121 |
+
"lstrip": false,
|
122 |
+
"normalized": false,
|
123 |
+
"rstrip": false,
|
124 |
+
"single_word": false
|
125 |
+
}
|
126 |
}
|
tokenizer.json
CHANGED
@@ -39,6 +39,15 @@
|
|
39 |
"normalized": true,
|
40 |
"special": false
|
41 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
42 |
{
|
43 |
"id": 32000,
|
44 |
"content": "<extra_id_99>",
|
@@ -5810,6 +5819,15 @@
|
|
5810 |
},
|
5811 |
{
|
5812 |
"id": 32641,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5813 |
"content": " ",
|
5814 |
"single_word": false,
|
5815 |
"lstrip": false,
|
@@ -5831,7 +5849,8 @@
|
|
5831 |
{
|
5832 |
"type": "Metaspace",
|
5833 |
"replacement": "▁",
|
5834 |
-
"
|
|
|
5835 |
}
|
5836 |
]
|
5837 |
},
|
@@ -5892,7 +5911,8 @@
|
|
5892 |
"decoder": {
|
5893 |
"type": "Metaspace",
|
5894 |
"replacement": "▁",
|
5895 |
-
"
|
|
|
5896 |
},
|
5897 |
"model": {
|
5898 |
"type": "Unigram",
|
@@ -134298,6 +134318,7 @@
|
|
134298 |
"<extra_id_0>",
|
134299 |
0.0
|
134300 |
]
|
134301 |
-
]
|
|
|
134302 |
}
|
134303 |
}
|
|
|
39 |
"normalized": true,
|
40 |
"special": false
|
41 |
},
|
42 |
+
{
|
43 |
+
"id": 834,
|
44 |
+
"content": "_",
|
45 |
+
"single_word": false,
|
46 |
+
"lstrip": false,
|
47 |
+
"rstrip": false,
|
48 |
+
"normalized": true,
|
49 |
+
"special": false
|
50 |
+
},
|
51 |
{
|
52 |
"id": 32000,
|
53 |
"content": "<extra_id_99>",
|
|
|
5819 |
},
|
5820 |
{
|
5821 |
"id": 32641,
|
5822 |
+
"content": "^",
|
5823 |
+
"single_word": false,
|
5824 |
+
"lstrip": false,
|
5825 |
+
"rstrip": false,
|
5826 |
+
"normalized": true,
|
5827 |
+
"special": false
|
5828 |
+
},
|
5829 |
+
{
|
5830 |
+
"id": 32642,
|
5831 |
"content": " ",
|
5832 |
"single_word": false,
|
5833 |
"lstrip": false,
|
|
|
5849 |
{
|
5850 |
"type": "Metaspace",
|
5851 |
"replacement": "▁",
|
5852 |
+
"prepend_scheme": "always",
|
5853 |
+
"split": true
|
5854 |
}
|
5855 |
]
|
5856 |
},
|
|
|
5911 |
"decoder": {
|
5912 |
"type": "Metaspace",
|
5913 |
"replacement": "▁",
|
5914 |
+
"prepend_scheme": "always",
|
5915 |
+
"split": true
|
5916 |
},
|
5917 |
"model": {
|
5918 |
"type": "Unigram",
|
|
|
134318 |
"<extra_id_0>",
|
134319 |
0.0
|
134320 |
]
|
134321 |
+
],
|
134322 |
+
"byte_fallback": false
|
134323 |
}
|
134324 |
}
|
tokenizer_config.json
CHANGED
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See raw diff
|
|