Jina Embeddings V2 Base En 202457 Oc31 Webapp

🚀 Fine-tuned Jina Embeddings Model for Legal Advice Search

This model is a fine-tuned version of jinaai/jina-embeddings-v2-base-en. It is specifically designed for a legal advice search engine, offering powerful feature extraction capabilities for various NLP tasks.

🚀 Quick Start

This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more.

✨ Features

• Feature Extraction: Ideal for extracting features from text data.
• Sentence Similarity: Capable of calculating sentence similarity, useful for tasks like legal advice search.
• Multiple Datasets: Fine - tuned on datasets like fine - tuned/jina-embeddings-v2-base-en-202457-oc31-webapp and allenai/c4.

📦 Installation

No specific installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

Basic Usage

from sentence_transformers import SentenceTransformer
from sentence_transformers.util import cos_sim

model = SentenceTransformer(
    'fine-tuned/jina-embeddings-v2-base-en-202457-oc31-webapp',
    trust_remote_code=True
)

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

📚 Documentation

Model Details

• Model Type: Fine - tuned Sentence Transformer
• Training Data: fine - tuned/jina-embeddings-v2-base-en-202457-oc31-webapp, allenai/c4

Tags

This model is associated with the following tags:

• sentence-transformers
• feature-extraction
• sentence-similarity
• mteb
• Law
• Taiwan
• Legal Advice
• Legal System
• Legal Issues

🔧 Technical Details

No technical details are provided in the original document, so this section is skipped.

📄 License

This model is released under the Apache-2.0 license.