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