SentenceTransformer based on sentence transformers/paraphrase multilingual mpnet base v2 This is a sentence transformers model specifically trained for job title matching and similarity. It's finetuned from sentence transformers/paraphrase multilingual mpnet base v2 on a large dataset of job titles and their associated skills/requirements across multiple languages. The model maps English, Spanish, German and Chinese job titles and descriptions to a 1024 dimensional dense vector space and can be used for semantic job title matching, job similarity search, and related HR/recruitment tasks. The model was presented in the paper Multilingual JobBERT for Cross Lingual Job Title Matching. Model Details Model Description Model Type: Sentence Transformer Base model: sentence transformers/paraphrase multilingual mpnet base v2 Maximum Sequence Length: 64 tokens Output Dimensionality: 1024 dimensions Similarity Function: Cosine Similarity Training Dataset: 4 x 5.2M high quality job title skills pairs in English, Spanish, German and Chinese Model Sources Documentation: Sentence Transformers Documentation Repository: Sentence Transformers on GitHub Hugging Face: Sentence Transformers on Hugging…
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