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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+{
+  "bos_token": "UTT_BOUNDARY",
+  "eos_token": "UTT_BOUNDARY",
+  "pad_token": "PAD",
+  "unk_token": "UNK"
+}

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
+    },
+    {
+      "id": 1,
+      "content": "PAD",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 2,
+      "content": "W",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    },
+    {
+      "id": 3,
+      "content": "UTT_BOUNDARY",
+      "single_word": false,
+      "lstrip": false,
+      "rstrip": false,
+      "normalized": false,
+      "special": true
+    }
+  ],
+  "normalizer": {
+    "type": "Sequence",
+    "normalizers": [
+      {
+        "type": "NFD"
+      },
+      {
+        "type": "Lowercase"
+      },
+      {
+        "type": "Strip",
+        "strip_left": true,
+        "strip_right": true
+      },
+      {
+        "type": "StripAccents"
+      },
+      {
+        "type": "Replace",
+        "pattern": {
+          "String": " "
+        },
+        "content": "W"
+      }
+    ]
+  },
+  "pre_tokenizer": {
+    "type": "Split",
+    "pattern": {
+      "String": ""
+    },
+    "behavior": "Isolated",
+    "invert": false
+  },
+  "post_processor": {
+    "type": "TemplateProcessing",
+    "single": [
+      {
+        "SpecialToken": {
+          "id": "UTT_BOUNDARY",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      }
+    ],
+    "pair": [
+      {
+        "SpecialToken": {
+          "id": "UTT_BOUNDARY",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "A",
+          "type_id": 0
+        }
+      },
+      {
+        "SpecialToken": {
+          "id": "UTT_BOUNDARY",
+          "type_id": 0
+        }
+      },
+      {
+        "Sequence": {
+          "id": "B",
+          "type_id": 1
+        }
+      }
+    ],
+    "special_tokens": {
+      "UTT_BOUNDARY": {
+        "id": "UTT_BOUNDARY",
+        "ids": [
+          3
+        ],
+        "tokens": [
+          "UTT_BOUNDARY"
+        ]
+      }
+    }
+  },
+  "decoder": null,
+  "model": {
+    "type": "WordLevel",
+    "vocab": {
+      "UNK": 0,
+      "PAD": 1,
+      "W": 2,
+      "UTT_BOUNDARY": 3,
+      "d": 4,
+      "o": 5,
+      "y": 6,
+      "u": 7,
+      "w": 8,
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+      "h": 14,
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+      "?": 17,
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+      ".": 19,
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+      "'": 21,
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+      "g": 24,
+      "p": 25,
+      "b": 26,
+      "m": 27,
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+      "j": 29,
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+      "x": 31,
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+      "z": 33,
+      "-": 34,
+      "&": 35,
+      ",": 36,
+      "/": 37,
+      "1": 38,
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+      "5": 40,
+      "0": 41,
+      ";": 42,
+      "‘": 43,
+      "’": 44,
+      "—": 45,
+      ":": 46,
+      "+": 47,
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+      "”": 69,
+      "[": 70,
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+      "“": 96,
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+      "\\": 134,
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+      "ˈ": 230
+    },
+    "unk_token": "UNK"
+  }
+}

tokenizer_config.json

@@ -0,0 +1,44 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "UNK",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "PAD",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "W",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "UTT_BOUNDARY",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "UTT_BOUNDARY",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "UTT_BOUNDARY",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "PAD",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "UNK"
+}

vocab.json

@@ -0,0 +1 @@
+{"UNK":0,"PAD":1,"W":2,"UTT_BOUNDARY":3,"d":4,"o":5,"y":6,"u":7,"w":8,"a":9,"n":10,"t":11,"l":12,"k":13,"h":14,"i":15,"s":16,"?":17,"e":18,".":19,"r":20,"'":21,"f":22,"c":23,"g":24,"p":25,"b":26,"m":27,"v":28,"j":29,"!":30,"x":31,"q":32,"z":33,"-":34,"&":35,",":36,"/":37,"1":38,"9":39,"5":40,"0":41,";":42,"‘":43,"’":44,"—":45,":":46,"+":47,"8":48,"3":49,"7":50,"4":51,"6":52,"2":53,"=":54,")":55,"(":56,"_":57,"*":58,"£":59,"–":60,"#":61,"`":62,"\"":63,"æ":64,"]":65,"|":66,"$":67,"“":68,"”":69,"[":70,"œ":71,"{":72,"}":73,"…":74,"°":75,"§":76,">":77,"·":78,"¢":79,"%":80,"^":81,"½":82,"¶":83,"×":84,"¼":85,"¾":86,"φ":87,"<":88,"´":89,"¯":90,"¦":91,"†":92,"«":93,"¬":94,"©":95,"“":96,"●":97,"¹":98,"⁄":99,"²":100,"₂":101,"│":102,"δ":103,"α":104,"ο":105,"υ":106,"χ":107,"ι":108,"η":109,"μ":110,"ε":111,"γ":112,"λ":113,"β":114,"κ":115,"ω":116,"ν":117,"ρ":118,"σ":119,"ς":120,"τ":121,"θ":122,"π":123,"′":124,"³":125,"⸺":126,"―":127,"±":128,"~":129,"ß":130,"µ":131,"„":132,"@":133,"\\":134,"♪":135,"¿":136,"¡":137,"​":138,"─":139,"–":140,"ð":141,"­":142,"º":143,"¸":144,"þ":145,"и":146,"♫":147,"¤":148,"¨":149,"ø":150,"":151,"ª":152,"đ":153,"€":154,"™":155,"€":156,"fl":157,"♬":158,"’":159,"，":160,"":161,"™":162,"®":163,"ı":164,"с":165,"в":166,"‎":167,"ц":168,"ь":169,"д":170,"н":171,"е":172,"м":173,"о":174,"т":175,"г":176,"а":177,"р":178,"ч":179,"п":180,"я":181,"б":182,"•":183,"ł":184,"ร":185,"ก":186,"к":187,"у":188,"‚":189,"ˆ":190,"„":191,"ƒ":192,"‡":193,"Š":194,"‘":195,"大":196,"”":197,"ا":198,"л":199,"з":200,"‑":201,"ʻ":202,"ت":203,"ו":204,"י":205,"ر":206,"ي":207,"ل":208,"ه":209,"ع":210,"ن":211,"ə":212,"−":213,"→":214,"ы":215,"ː":216,"و":217,"م":218,"س":219,"ح":220,"د":221,"ب":222,"ی":223,"»":224,"น":225,"า":226,"ง":227,"ม":228,"ʼ":229,"ˈ":230}