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README.md
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library_name: transformers
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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:**
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- **Funded by
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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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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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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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[More Information Needed]
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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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[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
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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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---
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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]
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