Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +1 -0
- tokenizer.json +539 -0
- tokenizer_config.json +8 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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special_tokens_map.json
ADDED
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{}
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tokenizer.json
ADDED
@@ -0,0 +1,539 @@
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [],
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"normalizer": null,
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"pre_tokenizer": {
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"type": "ByteLevel",
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"add_prefix_space": false,
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"trim_offsets": true,
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"use_regex": true
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},
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"post_processor": {
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"type": "ByteLevel",
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"add_prefix_space": true,
|
16 |
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|
486 |
+
"a re",
|
487 |
+
"c t",
|
488 |
+
"g le",
|
489 |
+
"h i",
|
490 |
+
"h t",
|
491 |
+
"i n",
|
492 |
+
"l i",
|
493 |
+
"l at",
|
494 |
+
"n ct",
|
495 |
+
"p le",
|
496 |
+
"r y",
|
497 |
+
"u m",
|
498 |
+
"w o",
|
499 |
+
"Ġ +",
|
500 |
+
"Ġ =",
|
501 |
+
"Ġ g",
|
502 |
+
"Ġ n",
|
503 |
+
"Ġ hy",
|
504 |
+
"Ġ rig",
|
505 |
+
"Ġ It",
|
506 |
+
"Ġ Py",
|
507 |
+
"th ag",
|
508 |
+
"Ġa n",
|
509 |
+
"nd am",
|
510 |
+
"he re",
|
511 |
+
"Ġc om",
|
512 |
+
"Ġe x",
|
513 |
+
"Ġs qu",
|
514 |
+
"Ġt wo",
|
515 |
+
"ion s",
|
516 |
+
"om et",
|
517 |
+
"ore m",
|
518 |
+
"ore an",
|
519 |
+
"ten use",
|
520 |
+
"Ġfu nct",
|
521 |
+
"Ġfu ndam",
|
522 |
+
"po tenuse",
|
523 |
+
"Ġl eng",
|
524 |
+
"Ġw here",
|
525 |
+
"Ġth at",
|
526 |
+
"Ġre lat",
|
527 |
+
"ent al",
|
528 |
+
"ple x",
|
529 |
+
"Ġhy potenuse",
|
530 |
+
"Ġrig ht",
|
531 |
+
"ĠPy thag",
|
532 |
+
"Ġcom plex",
|
533 |
+
"Ġsqu are",
|
534 |
+
"Ġfundam ental",
|
535 |
+
"Ġleng th",
|
536 |
+
"ĠPythag orean"
|
537 |
+
]
|
538 |
+
}
|
539 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {},
|
3 |
+
"clean_up_tokenization_spaces": true,
|
4 |
+
"merges_file": "./openwebmath_tokenizer/merges.txt",
|
5 |
+
"model_max_length": 1000000000000000019884624838656,
|
6 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
7 |
+
"vocab_file": "./openwebmath_tokenizer/vocab.json"
|
8 |
+
}
|