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pratikmurali/
pratik_cybersecurity_emb_ft

Name: pratik_cybersecurity_emb_ft
Availability: InStock

sentence-transformers

text-embeddings-inference

endpoints_compatible

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Cybersecurity Fine-Tuned Embedding Model

This model is fine-tuned on cybersecurity documents with a focus on healthcare contexts. It can be used to encode sentences and paragraphs into fixed-size embeddings for tasks like semantic search, clustering, or similarity detection.

Usage

python

from sentence_transformers import SentenceTransformer

model = SentenceTransformer('pratikmurali/finetuned_artic_ft')

# Sentences are encoded by calling model.encode()
embeddings = model.encode(['How can healthcare organizations improve cybersecurity?'])

Training Details

Fine-tuned from Snowflake/snowflake-arctic-embed-l
Training dataset: Healthcare and cybersecurity documents
Used MatryoshkaLoss with MultipleNegativesRankingLoss
Dimensions: [768, 512, 256, 128, 64]

pratikmurali/pratik_cybersecurity_emb_ft

Cybersecurity Fine-Tuned Embedding Model

Usage

Training Details

pratikmurali/
pratik_cybersecurity_emb_ft