text-entity-extractor

Overview

This project uses the Awan LLM 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).

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.

Technologies Used

• Language Model: Awanllm-Llama-3-8B-Dolfin 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.