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Pemilu2024-BERT-Clickbait
fajarkrisnajaya/Pemilu2024-BERT-Clickbait
Pemilu2024-BERT-Clickbait is a text classification model from fajarkrisnajaya. Use it when you need a label for a piece of text. It is set up for transformers.
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.safetensors442 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 25, 2023
- Updated
- Dec 25, 2023
- SHA
- 9821604b
Model card
From the Hugging Face model README
Pemilu2024-BERT-Clickbait
Dataset from okezone, tempo, detik, and kompas
Introduction
This project leverages a BERT model for analyzing Indonesian text data, focusing on the Pemilu 2024 elections headline news. it is aimed to classify if a news headline is clickbait (Labeled as 1)
Model Description
The BERT model used here is tailored for the Indonesian language. It's configured to effectively handle election-specific datasets, providing insights into patterns and trends.
File Contents
config.json: Model configuration settings.model.safetensors: Serialized model file.special_tokens_map.json: Special tokens for the tokenizer.tokenizer_config.json: Configuration for text tokenization.vocab.txt: Vocabulary list used by the model.
Supported Languages
- Indonesian (ID)
Contributions and Acknowledgements
Thanks to all contributors and data sources that have made this project possible. upstream task from https://huggingface.co/bert-base-uncased
License
[Specify License Here]
Please adjust the sections as needed, especially the "Usage Instructions" and "License" to fit the actual details of the project. For more information or to view the repository, visit Hugging Face.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- id
- Created
- Dec 25, 2023
- Updated
- Dec 25, 2023