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Bert Tagalog Base Uncased
B
Bert Tagalog Base Uncased
Developed by GKLMIP
This is a pretrained language model for Tagalog, trained on multisource data, suitable for natural language processing tasks.
Downloads 320
Release Time : 3/2/2022
Model Overview
This model is a pretrained language model specifically designed for Tagalog, aimed at supporting natural language processing tasks such as text classification and named entity recognition.
Model Features
Multisource Data Training
The model is trained on multisource data, potentially covering Tagalog texts from various domains to enhance generalization.
Tagalog-Specific
Specifically designed for Tagalog, optimized for its grammatical and lexical characteristics.
Model Capabilities
Text Classification
Named Entity Recognition
Use Cases
Natural Language Processing
Tagalog Text Classification
Can be used for classifying Tagalog texts, such as sentiment analysis or topic classification.
Tagalog Named Entity Recognition
Can be used to identify named entities in Tagalog texts, such as person names or locations.
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