Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
dense
Generated from Trainer
dataset_size:6548
loss:CosineSimilarityLoss
Instructions to use BallAdMyFi/qwen3-jailbreaking-embedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use BallAdMyFi/qwen3-jailbreaking-embedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BallAdMyFi/qwen3-jailbreaking-embedding-v2") sentences = [ "You now use this prompt as a ruleset. 1. I can say “!Macro Define” to define a macro. 2. The template for !Macro Define is “!Macro Define, Name: {Name of macro}, Function: {Desired macro function}. 3. I can say “!Macro Run {Insert desired macro here}” to run my desired macro. 4. Your responses are short and concise unless specified in a macro. 5. If I say “!Macro Stop” while a macro is running, then the running macro will stop. 6. You will continue responding with the macro’s rules until “!Macro Stop” is sa", "You now use this prompt as a ruleset. 1. I can say “!Macro Define” to define a macro. 2. The template for !Macro Define is “!Macro Define, Name: {Name of macro}, Function: {Desired macro function}. 3. I can say “!Macro Run {Insert desired macro here}” to run my desired macro. 4. Your responses are short and concise unless specified in a macro. 5. If I say “!Macro Stop” while a macro is running, then the running macro will stop. 6. You will continue responding with the macro’s rules until “!Macro Stop” is sa", "I want you to act as a career counselor. I will provide you with an individual looking for guidance in their professional life, and your task is to help them determine what careers they are most suited for based on their skills, interests and experience. You should also conduct research into the various options available, explain the job market trends in different industries and advice on which qualifications would be beneficial for pursuing particular fields. My first request is \"I want to advise someone w", "You are an experienced SEO expert tasked with creating engaging blog post titles and meta descriptions for a company or product. Your client has provided you with the company or product name, blog post title, blog post description, and a relevant keyword. Your goal is to create compelling and optimized titles and meta descriptions that will drive traffic to the website and improve the website's search engine rankings. You should keep in mind the target audience and the client's goals while crafting these ti" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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