elasfar-AI

Model Description

The elasfar-AI model is a fine-tuned language model designed to answer questions about my personal portfolio, including my projects (e.g., Mark AI ), skills, and professional experience. It is intended for use in an interactive Q&A feature on my personal website for educational and experimental purposes.

Intended Use

• Primary Use Case: Powering a Q&A feature to provide information about my skills, projects, and experience.
• Intended Audience: Visitors to my personal portfolio website, including potential employers, collaborators, or curious users.
• Tasks: Question answering, text generation.

Training Data

The model was fine-tuned on a custom dataset (training_data.csv) containing question-answer pairs related to my personal portfolio, projects, and skills. The dataset includes curated examples to ensure accurate and relevant responses.

How to Use

You can use this model via the Hugging Face Inference API. Example:

from huggingface_hub import InferenceClient
client = InferenceClient(token="YOUR_HF_TOKEN")
response = client.text_generation("How the United States was discovered ?", model="ibrahimlasfar/elasfar-AI") 
print(response)