Learn how to use Transformer-based models for named-entity recognition (NER) tasks and how to analyze various model features, constraints, and characteristics. This training helps developers determine which model is best suited for a particular use case based on metrics, domain specificity, and available resources.
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Learn how to use Transformer-based models for named-entity recognition (NER) tasks and how to analyze various model features, constraints, and characteristics. This training helps developers determine which model is best suited for a particular use case based on metrics, domain specificity, and available resources.
Milan-Chicago/NVIDIA-Transformer-Based-Natural-Language-Processing-Applications
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Learn how to use Transformer-based models for named-entity recognition (NER) tasks and how to analyze various model features, constraints, and characteristics. This training helps developers determine which model is best suited for a particular use case based on metrics, domain specificity, and available resources.
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