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--- |
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title: Named Entity Recognition |
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emoji: 🔍🏷️ |
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colorFrom: blue |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 4.41.0 |
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app_file: app.py |
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pinned: false |
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license: afl-3.0 |
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--- |
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# Named Entity Recognition (NER) App |
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This application provides a simple interface to perform Named Entity Recognition (NER) on text using a pre-trained model from Hugging Face's Transformers library. The model used under the hood is `dslim/bert-base-NER`, which is designed to identify entities such as names, locations, organizations, and more in a given text. |
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## Features |
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- **Named Entity Recognition**: Automatically identify and highlight entities within a given text. |
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- **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface. |
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## Model |
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- **Model Used**: [dslim/bert-base-NER](https://huggingface.co./dslim/bert-base-NER) |
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- **Framework**: Hugging Face Transformers |
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## Software Packages |
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- **Gradio**: Used to create the web interface. |
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- **Transformers**: Used for model inference. |
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- **Spaces**: Utilized for GPU acceleration during model execution. |
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## How to Use |
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1. Enter the text you want to analyze in the "Text to find entities" textbox. |
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2. Click "Submit" to perform Named Entity Recognition. |
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3. The identified entities will be highlighted in the output box. |
