Upload tokenizer
Browse files- README.md +199 -0
- added_tokens.json +35 -0
- merges.txt +0 -0
- special_tokens_map.json +86 -0
- tokenizer.json +0 -0
- tokenizer_config.json +502 -0
- vocab.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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"<EMAIL>": 110521,
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"<KEY>": 110522,
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"<NAME>": 110520,
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"<PASSWORD>": 110523,
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"<code_to_intermediate>": 110502,
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"<empty_output>": 110501,
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"<file_sep>": 110492,
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"<intermediate_to_code>": 110503,
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"<issue_closed>": 110495,
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"<issue_comment>": 110494,
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"<issue_start>": 110493,
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"<jupyter_code>": 110498,
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"<jupyter_output>": 110499,
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"<jupyter_script>": 110500,
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"<jupyter_start>": 110496,
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"<jupyter_text>": 110497,
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"<pr>": 110504,
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"<pr_base>": 110507,
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"<pr_base_code>": 110509,
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"<pr_comment>": 110512,
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"<pr_diff>": 110510,
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"<pr_diff_hunk>": 110511,
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"<pr_diff_hunk_comment_line>": 110519,
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"<pr_event_id>": 110513,
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"<pr_file>": 110508,
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"<pr_in_reply_to_comment_id>": 110518,
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"<pr_in_reply_to_review_id>": 110517,
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"<pr_is_merged>": 110506,
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"<pr_review>": 110514,
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"<pr_review_comment>": 110516,
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"<pr_review_state>": 110515,
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"<pr_status>": 110505,
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"<repo_name>": 110491
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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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"additional_special_tokens": [
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"<|endoftext|>",
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"<|fim_prefix|>",
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"<|fim_middle|>",
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"<|fim_suffix|>",
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"<|endofprompt|>",
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"<|_unuse_missing_100256|>",
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"<|_unuse_missing_100261|>",
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"<|_unuse_missing_100262|>",
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"<|_unuse_missing_100263|>",
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"<|_unuse_missing_100264|>",
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"<|_unuse_missing_100265|>",
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"<|_unuse_missing_100266|>",
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"<|_unuse_missing_100267|>",
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"<|_unuse_missing_100268|>",
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"<|_unuse_missing_100269|>",
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"<|_unuse_missing_100270|>",
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"<|_unuse_missing_100271|>",
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"<|im_start|>",
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"<|im_end|>",
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"<|stop|>",
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"<|endofturn|>",
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"<repo_name>",
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"<file_sep>",
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"<issue_start>",
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"<issue_comment>",
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"<issue_closed>",
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"<jupyter_start>",
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"<jupyter_text>",
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"<jupyter_code>",
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"<jupyter_output>",
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"<jupyter_script>",
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"<empty_output>",
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"<code_to_intermediate>",
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"<intermediate_to_code>",
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"<pr>",
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"<pr_status>",
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"<pr_is_merged>",
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"<pr_base>",
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"<pr_file>",
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"<pr_base_code>",
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"<pr_diff>",
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"<pr_diff_hunk>",
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"<pr_comment>",
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"<pr_event_id>",
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"<pr_review>",
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"<pr_review_state>",
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"<pr_review_comment>",
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"<pr_in_reply_to_review_id>",
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"<pr_in_reply_to_comment_id>",
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"<pr_diff_hunk_comment_line>",
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"<NAME>",
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"<EMAIL>",
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"<KEY>",
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"<PASSWORD>"
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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": "<|endofturn|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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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 |
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2 |
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3 |
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|
304 |
+
"rstrip": false,
|
305 |
+
"single_word": false,
|
306 |
+
"special": true
|
307 |
+
},
|
308 |
+
"110508": {
|
309 |
+
"content": "<pr_file>",
|
310 |
+
"lstrip": false,
|
311 |
+
"normalized": false,
|
312 |
+
"rstrip": false,
|
313 |
+
"single_word": false,
|
314 |
+
"special": true
|
315 |
+
},
|
316 |
+
"110509": {
|
317 |
+
"content": "<pr_base_code>",
|
318 |
+
"lstrip": false,
|
319 |
+
"normalized": false,
|
320 |
+
"rstrip": false,
|
321 |
+
"single_word": false,
|
322 |
+
"special": true
|
323 |
+
},
|
324 |
+
"110510": {
|
325 |
+
"content": "<pr_diff>",
|
326 |
+
"lstrip": false,
|
327 |
+
"normalized": false,
|
328 |
+
"rstrip": false,
|
329 |
+
"single_word": false,
|
330 |
+
"special": true
|
331 |
+
},
|
332 |
+
"110511": {
|
333 |
+
"content": "<pr_diff_hunk>",
|
334 |
+
"lstrip": false,
|
335 |
+
"normalized": false,
|
336 |
+
"rstrip": false,
|
337 |
+
"single_word": false,
|
338 |
+
"special": true
|
339 |
+
},
|
340 |
+
"110512": {
|
341 |
+
"content": "<pr_comment>",
|
342 |
+
"lstrip": false,
|
343 |
+
"normalized": false,
|
344 |
+
"rstrip": false,
|
345 |
+
"single_word": false,
|
346 |
+
"special": true
|
347 |
+
},
|
348 |
+
"110513": {
|
349 |
+
"content": "<pr_event_id>",
|
350 |
+
"lstrip": false,
|
351 |
+
"normalized": false,
|
352 |
+
"rstrip": false,
|
353 |
+
"single_word": false,
|
354 |
+
"special": true
|
355 |
+
},
|
356 |
+
"110514": {
|
357 |
+
"content": "<pr_review>",
|
358 |
+
"lstrip": false,
|
359 |
+
"normalized": false,
|
360 |
+
"rstrip": false,
|
361 |
+
"single_word": false,
|
362 |
+
"special": true
|
363 |
+
},
|
364 |
+
"110515": {
|
365 |
+
"content": "<pr_review_state>",
|
366 |
+
"lstrip": false,
|
367 |
+
"normalized": false,
|
368 |
+
"rstrip": false,
|
369 |
+
"single_word": false,
|
370 |
+
"special": true
|
371 |
+
},
|
372 |
+
"110516": {
|
373 |
+
"content": "<pr_review_comment>",
|
374 |
+
"lstrip": false,
|
375 |
+
"normalized": false,
|
376 |
+
"rstrip": false,
|
377 |
+
"single_word": false,
|
378 |
+
"special": true
|
379 |
+
},
|
380 |
+
"110517": {
|
381 |
+
"content": "<pr_in_reply_to_review_id>",
|
382 |
+
"lstrip": false,
|
383 |
+
"normalized": false,
|
384 |
+
"rstrip": false,
|
385 |
+
"single_word": false,
|
386 |
+
"special": true
|
387 |
+
},
|
388 |
+
"110518": {
|
389 |
+
"content": "<pr_in_reply_to_comment_id>",
|
390 |
+
"lstrip": false,
|
391 |
+
"normalized": false,
|
392 |
+
"rstrip": false,
|
393 |
+
"single_word": false,
|
394 |
+
"special": true
|
395 |
+
},
|
396 |
+
"110519": {
|
397 |
+
"content": "<pr_diff_hunk_comment_line>",
|
398 |
+
"lstrip": false,
|
399 |
+
"normalized": false,
|
400 |
+
"rstrip": false,
|
401 |
+
"single_word": false,
|
402 |
+
"special": true
|
403 |
+
},
|
404 |
+
"110520": {
|
405 |
+
"content": "<NAME>",
|
406 |
+
"lstrip": false,
|
407 |
+
"normalized": false,
|
408 |
+
"rstrip": false,
|
409 |
+
"single_word": false,
|
410 |
+
"special": true
|
411 |
+
},
|
412 |
+
"110521": {
|
413 |
+
"content": "<EMAIL>",
|
414 |
+
"lstrip": false,
|
415 |
+
"normalized": false,
|
416 |
+
"rstrip": false,
|
417 |
+
"single_word": false,
|
418 |
+
"special": true
|
419 |
+
},
|
420 |
+
"110522": {
|
421 |
+
"content": "<KEY>",
|
422 |
+
"lstrip": false,
|
423 |
+
"normalized": false,
|
424 |
+
"rstrip": false,
|
425 |
+
"single_word": false,
|
426 |
+
"special": true
|
427 |
+
},
|
428 |
+
"110523": {
|
429 |
+
"content": "<PASSWORD>",
|
430 |
+
"lstrip": false,
|
431 |
+
"normalized": false,
|
432 |
+
"rstrip": false,
|
433 |
+
"single_word": false,
|
434 |
+
"special": true
|
435 |
+
}
|
436 |
+
},
|
437 |
+
"additional_special_tokens": [
|
438 |
+
"<|endoftext|>",
|
439 |
+
"<|fim_prefix|>",
|
440 |
+
"<|fim_middle|>",
|
441 |
+
"<|fim_suffix|>",
|
442 |
+
"<|endofprompt|>",
|
443 |
+
"<|_unuse_missing_100256|>",
|
444 |
+
"<|_unuse_missing_100261|>",
|
445 |
+
"<|_unuse_missing_100262|>",
|
446 |
+
"<|_unuse_missing_100263|>",
|
447 |
+
"<|_unuse_missing_100264|>",
|
448 |
+
"<|_unuse_missing_100265|>",
|
449 |
+
"<|_unuse_missing_100266|>",
|
450 |
+
"<|_unuse_missing_100267|>",
|
451 |
+
"<|_unuse_missing_100268|>",
|
452 |
+
"<|_unuse_missing_100269|>",
|
453 |
+
"<|_unuse_missing_100270|>",
|
454 |
+
"<|_unuse_missing_100271|>",
|
455 |
+
"<|im_start|>",
|
456 |
+
"<|im_end|>",
|
457 |
+
"<|stop|>",
|
458 |
+
"<|endofturn|>",
|
459 |
+
"<repo_name>",
|
460 |
+
"<file_sep>",
|
461 |
+
"<issue_start>",
|
462 |
+
"<issue_comment>",
|
463 |
+
"<issue_closed>",
|
464 |
+
"<jupyter_start>",
|
465 |
+
"<jupyter_text>",
|
466 |
+
"<jupyter_code>",
|
467 |
+
"<jupyter_output>",
|
468 |
+
"<jupyter_script>",
|
469 |
+
"<empty_output>",
|
470 |
+
"<code_to_intermediate>",
|
471 |
+
"<intermediate_to_code>",
|
472 |
+
"<pr>",
|
473 |
+
"<pr_status>",
|
474 |
+
"<pr_is_merged>",
|
475 |
+
"<pr_base>",
|
476 |
+
"<pr_file>",
|
477 |
+
"<pr_base_code>",
|
478 |
+
"<pr_diff>",
|
479 |
+
"<pr_diff_hunk>",
|
480 |
+
"<pr_comment>",
|
481 |
+
"<pr_event_id>",
|
482 |
+
"<pr_review>",
|
483 |
+
"<pr_review_state>",
|
484 |
+
"<pr_review_comment>",
|
485 |
+
"<pr_in_reply_to_review_id>",
|
486 |
+
"<pr_in_reply_to_comment_id>",
|
487 |
+
"<pr_diff_hunk_comment_line>",
|
488 |
+
"<NAME>",
|
489 |
+
"<EMAIL>",
|
490 |
+
"<KEY>",
|
491 |
+
"<PASSWORD>"
|
492 |
+
],
|
493 |
+
"bos_token": "<|endoftext|>",
|
494 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
495 |
+
"clean_up_tokenization_spaces": true,
|
496 |
+
"eos_token": "<|endofturn|>",
|
497 |
+
"extra_special_tokens": {},
|
498 |
+
"model_max_length": 1000000000000000019884624838656,
|
499 |
+
"pad_token": "<|endoftext|>",
|
500 |
+
"tokenizer_class": "GPT2Tokenizer",
|
501 |
+
"unk_token": "<|endoftext|>"
|
502 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|