LughaatBERT is a transformer-based model fine-tuned for question-answering tasks, designed to power intelligent chatbots and other conversational AI applications. Developed using the Hugging Face ecosystem, it excels at understanding natural language queries and providing accurate, context-aware responses.
The model was fine-tuned on a diverse question-answering dataset using the Hugging Face Transformers library. It is designed to handle queries with contextual understanding and produce accurate results across various domains.
Deployment
LughaatBERT can be integrated into real-world applications via:
Hugging Face Pipelines: Use the simple interface for rapid prototyping.
Custom API Integration: Load the model in your custom backend for full control.
Citation
If you use LughaatBERT in your research or applications, please cite it as:
@model{LughaatBERT,
author = {muhammadnoman76},
title = {LughaatBERT: A Question-Answering Model},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/muhammadnoman76/LughaatBERT}
}
License
This model is available under the Apache 2.0 License. See the LICENSE file for details.
For any questions or issues, feel free to contact muhammadnoman76.
