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  ---
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  library_name: transformers
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- tags: []
 
 
 
 
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  ---
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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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  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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-
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- ### Model Sources [optional]
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-
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- <!-- Provide the basic links for the model. -->
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-
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [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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  [More Information Needed]
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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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- ## More Information [optional]
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- [More Information Needed]
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  ## Model Card Authors [optional]
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  [More Information Needed]
 
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  library_name: transformers
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+ language:
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+ - en
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+ - zh
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+ base_model:
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+ - superb/wav2vec2-base-superb-sid
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  ---
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  # Model Card for Model ID
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+ The model is intended to speaker identification for audio segments taken from the Mandarin Monkey podcast.
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+ It was created based the speakerbox code. https://councildataproject.org/speakerbox/
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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:** jdalegonzalez
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+ - **Funded by [optional]:** None. sigh
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+ - **Model type:** Wave2Vec audio classifier
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+ - **Language(s) (NLP):** English and Chinese
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+ - **License:** Meh?
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+ - **Finetuned from model:** superb/wav2vec2-base-superb-sid
 
 
 
 
 
 
 
 
 
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  ## Uses
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+ Right now, the only thing the model will do is identify which speaker (between the two hosts of Mandarin Monkey)
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+ is likely speaking a specific audio clip. In the future, it could be expanded to support
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+ more speakers, more podcasts, etc...
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  ### Direct Use
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+ I'm not sure what direct use is possible other than diarizing a Mandarin Monkey podcast.
 
 
 
 
 
 
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  [More Information Needed]
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  ### Out-of-Scope Use
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+ Really, almost any use other than identifying which host is speaking a particular
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+ audio clip is out-of-scope.
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  [More Information Needed]
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  ## Bias, Risks, and Limitations
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+ There is no warranty expressed or implied. It works for me. It may do
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+ nothing for you. This is experimental and shouldn't be the basis
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+ for any commericial activity.
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  [More Information Needed]
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  ### Recommendations
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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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  [More Information Needed]
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  ## Model Card Authors [optional]
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  [More Information Needed]