Upload tokenizer

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

special_tokens_map.json

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+{}

tokenizer.json

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+{
+  "version": "1.0",
+  "truncation": null,
+  "padding": null,
+  "added_tokens": [
+    {
+      "id": 0,
+      "content": "<unk>",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  ],
+  "normalizer": null,
+  "pre_tokenizer": {
+    "type": "Whitespace"
+  },
+  "post_processor": null,
+  "decoder": null,
+  "model": {
+    "type": "BPE",
+    "dropout": null,
+    "unk_token": null,
+    "continuing_subword_prefix": null,
+    "end_of_word_suffix": null,
+    "fuse_unk": false,
+    "byte_fallback": false,
+    "ignore_merges": false,
+    "vocab": {
+      "<unk>": 0,
+      "A": 1,
+      "F": 2,
+      "M": 3,
+      "N": 4,
+      "P": 5,
+      "T": 6,
+      "a": 7,
+      "c": 8,
+      "d": 9,
+      "e": 10,
+      "f": 11,
+      "g": 12,
+      "h": 13,
+      "i": 14,
+      "l": 15,
+      "m": 16,
+      "n": 17,
+      "o": 18,
+      "p": 19,
+      "r": 20,
+      "s": 21,
+      "t": 22,
+      "u": 23,
+      "v": 24,
+      "y": 25,
+      "in": 26,
+      "an": 27,
+      "he": 28,
+      "is": 29,
+      "at": 30,
+      "ch": 31,
+      "ed": 32,
+      "ing": 33,
+      "The": 34,
+      "al": 35,
+      "as": 36,
+      "ar": 37,
+      "ce": 38,
+      "cat": 39,
+      "do": 40,
+      "er": 41,
+      "or": 42,
+      "ran": 43,
+      "the": 44,
+      "ang": 45,
+      "chas": 46,
+      "dog": 47,
+      "chased": 48,
+      "At": 49,
+      "Fran": 50,
+      "Ma": 51,
+      "Nat": 52,
+      "Par": 53,
+      "Tran": 54,
+      "ag": 55,
+      "ap": 56,
+      "cin": 57,
+      "cap": 58,
+      "en": 59,
+      "ev": 60,
+      "eed": 61,
+      "ear": 62,
+      "fas": 63
+    },
+    "merges": [
+      [
+        "i",
+        "n"
+      ],
+      [
+        "a",
+        "n"
+      ],
+      [
+        "h",
+        "e"
+      ],
+      [
+        "i",
+        "s"
+      ],
+      [
+        "a",
+        "t"
+      ],
+      [
+        "c",
+        "h"
+      ],
+      [
+        "e",
+        "d"
+      ],
+      [
+        "in",
+        "g"
+      ],
+      [
+        "T",
+        "he"
+      ],
+      [
+        "a",
+        "l"
+      ],
+      [
+        "a",
+        "s"
+      ],
+      [
+        "a",
+        "r"
+      ],
+      [
+        "c",
+        "e"
+      ],
+      [
+        "c",
+        "at"
+      ],
+      [
+        "d",
+        "o"
+      ],
+      [
+        "e",
+        "r"
+      ],
+      [
+        "o",
+        "r"
+      ],
+      [
+        "r",
+        "an"
+      ],
+      [
+        "t",
+        "he"
+      ],
+      [
+        "an",
+        "g"
+      ],
+      [
+        "ch",
+        "as"
+      ],
+      [
+        "do",
+        "g"
+      ],
+      [
+        "chas",
+        "ed"
+      ],
+      [
+        "A",
+        "t"
+      ],
+      [
+        "F",
+        "ran"
+      ],
+      [
+        "M",
+        "a"
+      ],
+      [
+        "N",
+        "at"
+      ],
+      [
+        "P",
+        "ar"
+      ],
+      [
+        "T",
+        "ran"
+      ],
+      [
+        "a",
+        "g"
+      ],
+      [
+        "a",
+        "p"
+      ],
+      [
+        "c",
+        "in"
+      ],
+      [
+        "c",
+        "ap"
+      ],
+      [
+        "e",
+        "n"
+      ],
+      [
+        "e",
+        "v"
+      ],
+      [
+        "e",
+        "ed"
+      ],
+      [
+        "e",
+        "ar"
+      ],
+      [
+        "f",
+        "as"
+      ]
+    ]
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}