How to use deepali1021/finetuned_arctic_ft-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("deepali1021/finetuned_arctic_ft-v2") sentences = [ "What types of training did the drivers complete in the past year to enhance their skills?", "department. It provides guidelines to ensure safe, efficient, and customer-focused transportation \nservices. Please read this manual carefully and consult with your supervisor or the department \nmanager if you have any questions or need further clarification. \n \nDepartment Overview \nThe Transportation Department plays a critical role in providing reliable transportation services to \nour customers. Our department consists of 50 drivers, 10 dispatchers, and 5 maintenance \ntechnicians. In the past year, we transported over 500,000 passengers across various routes, ensuring \ntheir safety and satisfaction. \n \nSafety and Vehicle Maintenance \nSafety is our top priority. All vehicles undergo regular inspections and maintenance to ensure they", "Compliance with local, state, and federal regulations is crucial. Our drivers are required to maintain \nup-to-date knowledge of transportation laws and regulations. In the past year, we conducted 20 \ncompliance audits to ensure adherence to regulatory requirements. \n \nTraining and Development \nContinuous training and development are vital for our department's success. In the past year, our \ndrivers completed over 100 hours of professional development training, focusing on defensive \ndriving, customer service, and emergency preparedness. \n \nCommunication and Collaboration \nEffective communication and collaboration are essential within the Transportation Department and", "Customer Service \nWe prioritize exceptional customer service. Our drivers are trained to provide a friendly and \nrespectful experience to all passengers. In the past year, we received an average customer \nsatisfaction rating of 4.5 out of 5, demonstrating our commitment to meeting customer needs and \nexceeding their expectations. \n \nIncident Reporting and Investigation \nAccidents or incidents may occur during transportation operations. In such cases, our drivers are \ntrained to promptly report incidents to their supervisor or the incident response team. In the past \nyear, we reported and investigated 10 incidents, implementing corrective actions to prevent future \noccurrences. \n \nCompliance with Regulations" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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