fine-tuned/jina-embeddings-v2-base-code-06052024-mhal-webapp

This model is a fine-tuned version of jinaai/jina-embeddings-v2-base-code designed for the following use case:

software documentation search

How to Use

This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. 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/jina-embeddings-v2-base-code-06052024-mhal-webapp',
    trust_remote_code=True
)

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