sentence-transformers How to use frankwong2001/4_modernbert-embed-base with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("frankwong2001/4_modernbert-embed-base")
sentences = [
"The Risk Analytics Analyst/Compliance Analytics Analyst is responsible for the development, implementation and/or utilisation of quantitative models and data analysis to support day-to-day risk and compliance functions. He/She supports independent research required for the development of risk and compliance quantitative models and data analytics methodologies, along with testing and validation to ensure their suitability for business requirements. He enables the deployment of models and guides others in the use of analytics to support business needs. He is also involved in the conduct of analysis and modelling, and compiles findings to draw insights and create reports. The Risk Analytics Analyst/Compliance Analytics Analyst is technically proficient with numerical, quantitative and data analysis approaches to meet business requirements. He is highly analytical, conceptual and able to communicate complex ideas in simple and easy to understand terms. He is able to draw connections between numerical data and contexts within risk and/or compliance functions to provide evidence and insights to influence decision-making.",
"The Risk Analyst is responsible for overseeing the financial auditing processes within the organization. \n\nThe Compliance Manager is tasked with leading a team of junior analysts to ensure adherence to industry regulations and standards.\n\nThe Data Science Associate focuses on developing machine learning algorithms for product recommendations in the retail sector.\n\nThe Risk Management Specialist works in a global market, ensuring compliance with international standards and regulations across multiple countries.\n\nThe Business Intelligence Analyst combines responsibilities from data analysis and project management, overseeing digital marketing strategies while managing risk assessments.",
"The Multimedia Specialist is tasked with the technical execution of multimedia content design strategies. This role encompasses the planning, setup, and maintenance of systems including servers and visual playback devices, as well as the processing and distribution of video signals to visual output devices such as projectors and LED displays. A strong understanding of video capture technology, including cameras, is essential, along with expertise in designing, deploying, and configuring network infrastructure to achieve the desired performance effects.\n\nAdditionally, Multimedia Specialists utilize video systems to enhance video content, executing techniques like content layering, applying visual effects, and mapping projections onto various surfaces. Depending on their qualifications and experience, they may also specialize as Network Engineers. These professionals can work in diverse environments such as venues, rental firms, production houses, or directly within production teams, either on a full-time or casual basis.",
"The Risk Analytics Analyst is tasked with the design, execution, and application of quantitative models and data analysis to enhance daily risk and compliance operations. This role involves conducting independent research to develop robust risk and compliance models and data analytics methodologies, alongside performing testing and validation to ensure alignment with business objectives. The analyst facilitates the implementation of these models and provides guidance on analytics usage to meet business requirements. Additionally, he/she engages in comprehensive analysis and modeling, synthesizing findings to generate insights and produce detailed reports. The Risk Analytics Analyst demonstrates strong technical proficiency in numerical and quantitative analysis techniques, showcasing exceptional analytical and conceptual skills, with the ability to convey complex concepts in a clear and accessible manner. He/she effectively connects numerical data with risk and compliance contexts to deliver evidence-based insights that support informed decision-making."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
