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| title: News NER | |
| emoji: 🌍 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| pinned: false | |
| license: mit | |
| #### News NER | |
| NER uses "microsoft/deberta-base" that is fine-tuned using TensorFlow for token classification (NER) using this | |
| <a href="https://www.kaggle.com/datasets/saurabhprajapat/named-entity-recognition" target="_blank">dataset</a>.<br>The fine-tuning dataset contains annotated sentences.<br> | |
| During inference, the input text is split into sentences using Spacy and entities are identified in each sentence.<br> | |
| The notebook to fine-tune "microsoft/deberta-base" for NER can be found <a href="https://github.com/ksv-muralidhar/hugging_face_tf_fine_tuning/blob/main/ner_deberta.ipynb">here</a>. | |