Bert Base Japanese V3 Marc Ja

🚀 bert-base-japanese-v3-marc_ja

This is a (sentiment analysis) model introduced in Chapter 5 of "Introduction to Large Language Models". It is built by fine-tuning cl-tohoku/bert-base-japanese-v3 on the MARC-ja dataset of JGLUE.

🚀 Quick Start

This model is a sentiment analysis model introduced in Chapter 5 of "Introduction to Large Language Models". It is fine - tuned from cl-tohoku/bert-base-japanese-v3 on the MARC-ja dataset of JGLUE.

✨ Features

• Based on the pre - trained model cl-tohoku/bert-base-japanese-v3.
• Fine - tuned on the MARC-ja dataset of JGLUE for sentiment analysis.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

from transformers import pipeline

text_classification_pipeline = pipeline(model="llm-book/bert-base-japanese-v3-marc_ja")
print(text_classification_pipeline("世界には言葉がわからなくても感動する音楽がある。")[0])
# {'label': 'positive', 'score': 0.9993619322776794}

📚 Documentation

Related Links

• GitHub Repository
• Colab Notebook (Training)
• Colab Notebook (Inference)
• Dataset
• Introduction to Large Language Models (Amazon.co.jp)
• Introduction to Large Language Models (gihyo.jp)

📄 License

Apache License 2.0