Uploading processor - v1.1.1

README.md

@@ -0,0 +1,199 @@
+---
+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

@@ -0,0 +1,4 @@
+{
+  "</s>": 114,
+  "<s>": 113
+}

preprocessor_config.json

@@ -0,0 +1,10 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "processor_class": "Wav2Vec2Processor",
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

special_tokens_map.json

@@ -0,0 +1,6 @@
+{
+  "bos_token": "<s>",
+  "eos_token": "</s>",
+  "pad_token": "[PAD]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,48 @@
+{
+  "added_tokens_decoder": {
+    "111": {
+      "content": "[UNK]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "112": {
+      "content": "[PAD]",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": false
+    },
+    "113": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "114": {
+      "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]",
+  "processor_class": "Wav2Vec2Processor",
+  "replace_word_delimiter_char": " ",
+  "target_lang": null,
+  "tokenizer_class": "Wav2Vec2CTCTokenizer",
+  "unk_token": "[UNK]",
+  "word_delimiter_token": " "
+}

vocab.json

@@ -0,0 +1,115 @@
+{
+  " ": 48,
+  "0": 28,
+  "1": 12,
+  "2": 81,
+  "3": 44,
+  "4": 108,
+  "5": 86,
+  "6": 7,
+  "7": 82,
+  "8": 14,
+  "9": 98,
+  "[PAD]": 112,
+  "[UNK]": 111,
+  "ༀ": 87,
+  "༡": 80,
+  "༢": 51,
+  "༣": 13,
+  "༤": 0,
+  "༥": 90,
+  "༦": 73,
+  "༧": 89,
+  "༨": 8,
+  "༩": 66,
+  "ཀ": 32,
+  "ཁ": 85,
+  "ག": 95,
+  "གྷ": 17,
+  "ང": 38,
+  "ཅ": 97,
+  "ཆ": 57,
+  "ཇ": 101,
+  "ཉ": 33,
+  "ཊ": 29,
+  "ཋ": 92,
+  "ཌ": 11,
+  "ཌྷ": 2,
+  "ཎ": 96,
+  "ཏ": 94,
+  "ཐ": 68,
+  "ད": 18,
+  "དྷ": 39,
+  "ན": 45,
+  "པ": 100,
+  "ཕ": 84,
+  "བ": 70,
+  "བྷ": 107,
+  "མ": 88,
+  "ཙ": 72,
+  "ཚ": 105,
+  "ཛ": 25,
+  "ཝ": 36,
+  "ཞ": 110,
+  "ཟ": 78,
+  "འ": 24,
+  "ཡ": 10,
+  "ར": 37,
+  "ལ": 34,
+  "ཤ": 4,
+  "ཥ": 79,
+  "ས": 52,
+  "ཧ": 60,
+  "ཨ": 77,
+  "ཀྵ": 65,
+  "ཪ": 19,
+  "ཱ": 74,
+  "ི": 5,
+  "ཱི": 9,
+  "ུ": 62,
+  "ཱུ": 42,
+  "ཷ": 21,
+  "ེ": 23,
+  "ོ": 46,
+  "ཾ": 16,
+  "ྀ": 53,
+  "ཱྀ": 67,
+  "ྃ": 83,
+  "ྐ": 35,
+  "ྑ": 41,
+  "ྒ": 49,
+  "ྔ": 76,
+  "ྕ": 69,
+  "ྖ": 106,
+  "ྗ": 47,
+  "ྙ": 27,
+  "ྚ": 109,
+  "ྛ": 103,
+  "ྜ": 56,
+  "ྞ": 50,
+  "ྟ": 104,
+  "ྠ": 40,
+  "ྡ": 15,
+  "ྡྷ": 3,
+  "ྣ": 59,
+  "ྤ": 93,
+  "ྥ": 22,
+  "ྦ": 102,
+  "ྦྷ": 71,
+  "ྨ": 43,
+  "ྩ": 20,
+  "ྪ": 64,
+  "ྫ": 1,
+  "ྭ": 54,
+  "ྰ": 6,
+  "ྱ": 58,
+  "ྲ": 99,
+  "ླ": 75,
+  "ྴ": 30,
+  "ྵ": 26,
+  "ྶ": 63,
+  "ྷ": 55,
+  "ྸ": 91,
+  "ྻ": 31,
+  "ྼ": 61
+}