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]
+
+

added_tokens.json

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+{
+  "</s>": 124,
+  "<s>": 123
+}

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "[PAD]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "121": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "122": {
+      "content": "[PAD]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "123": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "124": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": false,
+  "eos_token": "</s>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "replace_word_delimiter_char": " ",
+  "target_lang": null,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "unk_token": "[UNK]",
+  "word_delimiter_token": "|"
+}

vocab.json

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+{
+  "\t": 0,
+  "\n": 1,
+  "\r": 2,
+  "#": 4,
+  "&": 5,
+  "(": 6,
+  ")": 7,
+  "+": 8,
+  "/": 9,
+  "0": 10,
+  "1": 11,
+  "2": 12,
+  "3": 13,
+  "4": 14,
+  "5": 15,
+  "6": 16,
+  "7": 17,
+  "8": 18,
+  "9": 19,
+  "[": 20,
+  "[PAD]": 122,
+  "[UNK]": 121,
+  "\\": 21,
+  "]": 22,
+  "_": 23,
+  "{": 24,
+  "|": 3,
+  "}": 25,
+  "~": 26,
+  " ": 27,
+  "¥": 28,
+  "©": 29,
+  "¬": 30,
+  "­": 31,
+  "·": 32,
+  "ë": 33,
+  "ŋ": 34,
+  "ɕ": 35,
+  "ə": 36,
+  "ɵ": 37,
+  "ʨ": 38,
+  "̀": 39,
+  "́": 40,
+  "̃": 41,
+  "̆": 42,
+  "̇": 43,
+  "̈": 44,
+  "̜": 45,
+  "̟": 46,
+  "̥": 47,
+  "̩": 48,
+  "̰": 49,
+  "̶": 50,
+  "̹": 51,
+  "υ": 52,
+  "а": 53,
+  "б": 54,
+  "в": 55,
+  "г": 56,
+  "д": 57,
+  "е": 58,
+  "ж": 59,
+  "з": 60,
+  "и": 61,
+  "й": 62,
+  "к": 63,
+  "л": 64,
+  "м": 65,
+  "н": 66,
+  "о": 67,
+  "п": 68,
+  "р": 69,
+  "с": 70,
+  "т": 71,
+  "у": 72,
+  "ф": 73,
+  "х": 74,
+  "ц": 75,
+  "ч": 76,
+  "ш": 77,
+  "щ": 78,
+  "ъ": 79,
+  "ы": 80,
+  "ь": 81,
+  "э": 82,
+  "ю": 83,
+  "я": 84,
+  "ё": 85,
+  "і": 86,
+  "ї": 87,
+  "ў": 88,
+  "ѳ": 89,
+  "ғ": 90,
+  "қ": 91,
+  "ң": 92,
+  "ү": 93,
+  "ұ": 94,
+  "һ": 95,
+  "ӊ": 96,
+  "ӏ": 97,
+  "ә": 98,
+  "ө": 99,
+  "​": 100,
+  "‎": 101,
+  "‐": 102,
+  "‒": 103,
+  "–": 104,
+  "—": 105,
+  "―": 106,
+  "’": 107,
+  "‚": 108,
+  "„": 109,
+  "…": 110,
+  "№": 111,
+  "−": 112,
+  "─": 113,
+  "●": 114,
+  "☺": 115,
+  "♥": 116,
+  "⠀": 117,
+  "": 118,
+  "": 119,
+  "－": 120
+}