Obi

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Average Model Cost: $0.0000

Number of Runs: 92,864

Models by this creator

deid_roberta_i2b2

deid_roberta_i2b2

obi

deid_roberta_i2b2 is a token classification model that is trained to identify and classify sensitive information in medical documents, specifically for the i2b2 dataset. It is based on the RoBERTa architecture and is designed to detect information such as patient names, ages, addresses, and other personal details that should be de-identified for privacy and security reasons.

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$-/run

88.5K

Huggingface

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