How to use Bharatdeep-H/qwen3-jailbreaking-embeddings-adapters with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Bharatdeep-H/qwen3-jailbreaking-embeddings-adapters") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use Bharatdeep-H/qwen3-jailbreaking-embeddings-adapters with PEFT:
Task type is invalid.
Fine-tuned Qwen/Qwen3-Embedding-0.6B on nihabilal/clean-jailbreak-prompts using LoRA (SentenceTransformers). This repo contains a ready-to-use SentenceTransformer folder.
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Base model
