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  library_name: transformers
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- tags: []
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  # Model Card for Model ID
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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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- - **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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- Use the code below to get started with the model.
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- [More Information Needed]
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  ## Training Details
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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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- [More Information Needed]
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  #### Training Hyperparameters
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  ## Model Card Contact
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- [More Information Needed]
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  library_name: transformers
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+ license: apache-2.0
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  # Model Card for Model ID
 
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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:** Adrián Ghajari, Salvador Ros, Víctor Fresno, Alejandro Benito, Elena González-Blanco.
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+ - **Funded by:** LyrAIcs Grant agreement ID: 964009 H2020 EXCELLENCE SCIENCE- European Research Council
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+ - **Model type:** Bert
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+ - **Language(s) (NLP):** Multilingual
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+ - **Finetuned from model [optional]:** alberti-bert-base-multilingual-cased
 
 
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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+ - **Paper:** pending
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  ## Uses
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+ Model trained with a song lyrics dataset. The dataset was divided into chunks. This model is designed to create embeddings of song lyrics.
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  ### Direct Use
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+ Creation of embeddings through semantic composition
 
 
 
 
 
 
 
 
 
 
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+ ### Downstream Use
 
 
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+ Lyrics Similarity
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Training Details
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  ### Training Data
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+ LyrAIcs dataset
 
 
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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
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+ Chunking
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  #### Training Hyperparameters
 
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  ## Model Card Contact
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+ [More Information Needed]