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This model is designed for information extraction from resumes/CVs written in English. It employs a transformer-based architecture with spaCy for named entity recognition (NER) tasks. The model aims to parse various sections of resumes, including personal details, education history, professional experience, skills, and certifications, enabling users to extract structured information for further processing or analysis.
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### Model Details
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**Language:** English
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**Task:** Information extraction from resumes/CVs
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**Components:** Transformer, Named Entity Recognition (NER)
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**Author:** [Youssef Chafiqui](https://huggingface.co/ychafiqui)
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### Labels
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This model is designed for information extraction from resumes/CVs written in English. It employs a transformer-based architecture with spaCy for named entity recognition (NER) tasks. The model aims to parse various sections of resumes, including personal details, education history, professional experience, skills, and certifications, enabling users to extract structured information for further processing or analysis.
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### Model Details
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**Language:** English
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**Task:** Information extraction from resumes/CVs
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**Components:** Transformer, Named Entity Recognition (NER)
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**Author:** [Youssef Chafiqui](https://huggingface.co/ychafiqui)
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### Labels
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