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Upload tokenizer

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  1. README.md +199 -0
  2. special_tokens_map.json +132 -0
  3. tokenizer.json +0 -0
  4. tokenizer_config.json +953 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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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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+ - **License:** [More Information Needed]
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+
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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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+ [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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+ 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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+
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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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+
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+ ## Training Details
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+ ### Training Data
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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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+ ## Evaluation
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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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+ #### Summary
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+ ## Model Examination [optional]
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+ <!-- Relevant interpretability work for the model goes here -->
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+ ## Environmental Impact
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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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+
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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 [optional]
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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]
special_tokens_map.json ADDED
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+ {
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+ "additional_special_tokens": [
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+ "<extra_id_99>",
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+ "<extra_id_98>",
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+ "<extra_id_97>",
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+ "<extra_id_96>",
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+ "<extra_id_95>",
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+ "<extra_id_94>",
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+ "<extra_id_3>",
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+ "<extra_id_2>",
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+ "<extra_id_1>",
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+ "<extra_id_0>"
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+ ],
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+ "bos_token": {
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+ "content": "<BOS>",
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+ "lstrip": false,
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+ "single_word": false
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+ },
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+ },
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+ "single_word": false
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+ }
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+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
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+ "<extra_id_16>",
923
+ "<extra_id_15>",
924
+ "<extra_id_14>",
925
+ "<extra_id_13>",
926
+ "<extra_id_12>",
927
+ "<extra_id_11>",
928
+ "<extra_id_10>",
929
+ "<extra_id_9>",
930
+ "<extra_id_8>",
931
+ "<extra_id_7>",
932
+ "<extra_id_6>",
933
+ "<extra_id_5>",
934
+ "<extra_id_4>",
935
+ "<extra_id_3>",
936
+ "<extra_id_2>",
937
+ "<extra_id_1>",
938
+ "<extra_id_0>"
939
+ ],
940
+ "bos_token": "<BOS>",
941
+ "clean_up_tokenization_spaces": false,
942
+ "eos_token": "<EOS>",
943
+ "extra_ids": 100,
944
+ "max_length": 45,
945
+ "model_max_length": 1024,
946
+ "pad_token": "<PAD>",
947
+ "padding_side": "left",
948
+ "stride": 0,
949
+ "tokenizer_class": "PreTrainedTokenizerFast",
950
+ "truncation_side": "right",
951
+ "truncation_strategy": "longest_first",
952
+ "unk_token": "<UNK>"
953
+ }