How to use Nashhz/SBERT_KFOLD_Job_Descriptions_to_Skills with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Nashhz/SBERT_KFOLD_Job_Descriptions_to_Skills") sentences = [ "Description: I'm looking for a skilled web developer proficient in converting Figma mobile app designs to fully responsive HTML code in Flutter. Key Requirements - Convert Figma designs to HTML, ensuring the output is fully responsive across all devices. - Implement multiple interactive elements as per the original designs. This includes, but is not limited to, sliders and pop-ups. - Utilize clean, efficient code that's easy to maintain. Ideal Skills and Experience - Extensive experience in Figma to Flutter codeconversion. - Proficient in creating fully responsive web applications. - Strong understanding of interactive web elements. - Exceptional coding skills, with a focus on maintaining code quality and efficiency.", "Skills: Data Entry, eCommerce", "Skills: Graphic Design, CSS, HTML, Flutter", "Skills: Social Media Marketing, Social Networking, Influencer Marketing, Market Research" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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