Model Card for Aʟʙᴇʀᴛɪ:
Aʟʙᴇʀᴛɪ is the first multilingual domain-specific language model for poetry analysis.
Model Details
Model Description
As a pre-trained language model, it is trained using the masked language modeling objective on top of multilingual BERT, and therefore it needs to be fine-tuned to specific tasks.
- Developed by: Javier de la Rosa, and Álvaro Pérez Pozo
- Shared by: Javier de la Rosa
- Model type:
bert - Language(s) (NLP): Spanish, French, Italian, Czech, Portuguese, English, Arabic, Finnish, German, Russian, Hungarian, Chinese.
- License: CC-BY 4.0
- Finetuned from model:
bert-base-multilingual-cased
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Uses
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Training Details
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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