sgarbi
/

bert-fda-nutrition-ner

Token Classification

Inference Endpoints

Model card Files Files and versions

sgarbi commited on Dec 25, 2023

Commit

6ad4a62

•

1 Parent(s): afdd8a4

Update README.md

Files changed (1) hide show

README.md +0 -3

README.md CHANGED Viewed

@@ -36,9 +36,6 @@ widget:
         Nutrient Updated: Value 4
 ---
-# Model Card for sgarbi/bert-fda-nutrition-ner
 This is a BERT sequence labeling model, is designed for Named Entity Recognition (NER) in the context of FDA nutrition labeling. It aims to identify and classify various nutritional elements from text dataproviding a structured interpretation of the content typically found on nutrition labels.

         Nutrient Updated: Value 4
 ---
 This is a BERT sequence labeling model, is designed for Named Entity Recognition (NER) in the context of FDA nutrition labeling. It aims to identify and classify various nutritional elements from text dataproviding a structured interpretation of the content typically found on nutrition labels.