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>": 136,
+  "<s>": 135
+}

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": {
+    "133": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "134": {
+      "content": "[PAD]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "135": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "136": {
+      "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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+{
+  " ": 110,
+  "(": 99,
+  ")": 95,
+  ".": 93,
+  "2": 107,
+  "4": 109,
+  "5": 104,
+  "6": 105,
+  "[PAD]": 134,
+  "[UNK]": 133,
+  "a": 84,
+  "b": 1,
+  "c": 6,
+  "d": 3,
+  "e": 69,
+  "f": 29,
+  "g": 9,
+  "h": 47,
+  "i": 60,
+  "j": 54,
+  "k": 8,
+  "l": 56,
+  "m": 14,
+  "n": 16,
+  "o": 74,
+  "p": 0,
+  "q": 10,
+  "r": 22,
+  "s": 33,
+  "t": 2,
+  "u": 65,
+  "v": 30,
+  "w": 100,
+  "x": 41,
+  "y": 61,
+  "z": 34,
+  "|": 132,
+  "ä": 98,
+  "æ": 82,
+  "ç": 39,
+  "ð": 32,
+  "ø": 70,
+  "ħ": 45,
+  "ĩ": 131,
+  "ŋ": 19,
+  "œ": 77,
+  "ũ": 130,
+  "ɐ": 83,
+  "ɑ": 86,
+  "ɒ": 87,
+  "ɔ": 81,
+  "ɕ": 94,
+  "ɖ": 5,
+  "ɗ": 106,
+  "ɘ": 71,
+  "ə": 75,
+  "ɚ": 96,
+  "ɛ": 76,
+  "ɜ": 78,
+  "ɞ": 79,
+  "ɟ": 7,
+  "ɡ": 102,
+  "ɢ": 11,
+  "ɣ": 42,
+  "ɤ": 73,
+  "ɦ": 48,
+  "ɨ": 62,
+  "ɪ": 66,
+  "ɫ": 108,
+  "ɬ": 49,
+  "ɭ": 57,
+  "ɮ": 50,
+  "ɯ": 64,
+  "ɰ": 55,
+  "ɱ": 15,
+  "ɲ": 18,
+  "ɳ": 17,
+  "ɴ": 20,
+  "ɵ": 72,
+  "ɶ": 85,
+  "ɸ": 27,
+  "ɹ": 52,
+  "ɻ": 53,
+  "ɽ": 26,
+  "ɾ": 25,
+  "ʀ": 23,
+  "ʁ": 44,
+  "ʂ": 37,
+  "ʃ": 35,
+  "ʈ": 4,
+  "ʉ": 63,
+  "ʊ": 68,
+  "ʋ": 51,
+  "ʌ": 80,
+  "ʎ": 58,
+  "ʏ": 67,
+  "ʐ": 38,
+  "ʑ": 103,
+  "ʒ": 36,
+  "ʔ": 13,
+  "ʕ": 46,
+  "ʙ": 21,
+  "ʝ": 40,
+  "ʟ": 59,
+  "ʡ": 12,
+  "ʰ": 88,
+  "ʲ": 90,
+  "ʷ": 89,
+  "ː": 97,
+  "ˠ": 91,
+  "ˤ": 92,
+  "̃": 129,
+  "̈": 118,
+  "̊": 112,
+  "̘": 124,
+  "̙": 125,
+  "̜": 115,
+  "̝": 123,
+  "̞": 122,
+  "̟": 116,
+  "̠": 117,
+  "̤": 126,
+  "̥": 111,
+  "̩": 120,
+  "̬": 113,
+  "̯": 121,
+  "̰": 127,
+  "̹": 114,
+  "̼": 128,
+  "̽": 119,
+  "β": 28,
+  "θ": 31,
+  "χ": 43,
+  "ᵝ": 101,
+  "ⱱ": 24
+}