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https://github.com/mikartisan/text-entity-extractor

This project uses the language model API to identify and extract names, dates, and locations from text, functioning similarly to a named entity recognition (NER).
https://github.com/mikartisan/text-entity-extractor

artificial-intelligence language-model named-entity-recognition text-classification text-extractor

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This project uses the language model API to identify and extract names, dates, and locations from text, functioning similarly to a named entity recognition (NER).

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### text-entity-extractor

# Overview
This project uses the [Awan LLM](https://www.awanllm.com/) language model (Awanllm-Llama-3-8B-Dolfin) API to identify and extract names, dates, and locations from text, functioning similarly to a named entity recognition (NER).

![Local Image](/images/example.PNG)

# Usage
- Input Text: Provide the text input from which entities need to be extracted.
- Output: Receive extracted entities in a structured format for further analysis or processing.

# Installation
To get started with Text Entity Extractor:
- Clone the repository: git clone https://github.com/mikartisan/text-entity-extractor.git
- Install dependencies: npm install
- Get and Configure your Free/Paid API from [Awan LLM](https://www.awanllm.com/).

# Technologies Used
- Language Model: [Awanllm-Llama-3-8B-Dolfin](https://www.awanllm.com/) for entity recognition.
- HTML/Tailwind/JavaScript: Frontend components for user interaction and interface design.
- GitHub: Hosts the repository and manages version control.

# License
This project is licensed under the MIT License - see the LICENSE file for details.