Dutch Legal C

🚀 Fine-tuned Sentence Transformer for Legal Document Search

This model is a fine - tuned version of jinaai/jina-embeddings-v2-base-en tailored for legal document search. It can effectively extract features from text, enabling tasks like text classification, sentiment analysis, and entity recognition.

📦 Installation

Since this model is based on sentence-transformers, you need to have it installed. You can install it using pip:

pip install sentence-transformers

💻 Usage Examples

Basic Usage

This model can be easily integrated into your NLP pipeline for various tasks. Here's a simple example to get you started:

from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim

model = SentenceTransformer(
    'fine-tuned/dutch-legal-c',
    trust_remote_code=True
)

embeddings = model.encode([
    'first text to embed',
    'second text to embed'
])
print(cos_sim(embeddings[0], embeddings[1]))

📄 License

This model is licensed under the Apache-2.0 license.

📚 Documentation

Model Information