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--- |
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library_name: transformers |
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license: mit |
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--- |
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# elasfar-AI |
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## Model Description |
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The `elasfar-AI` model is a fine-tuned language model designed to answer questions about |
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my personal portfolio, including my projects (e.g., Mark AI ), skills, and professional experience. |
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It is intended for use in an interactive Q&A feature on my personal website for educational and |
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experimental purposes. |
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## Intended Use |
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- **Primary Use Case**: Powering a Q&A feature to provide information about my skills, projects, and experience. |
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- **Intended Audience**: Visitors to my personal portfolio website, including potential employers, collaborators, or curious users. |
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- **Tasks**: Question answering, text generation. |
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## Training Data |
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The model was fine-tuned on a custom dataset (`training_data.csv`) containing question-answer pairs related to |
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my personal portfolio, projects, and skills. The dataset includes curated examples to ensure accurate and relevant responses. |
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## How to Use |
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You can use this model via the Hugging Face Inference API. Example: |
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```python |
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from huggingface_hub import InferenceClient |
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client = InferenceClient(token="YOUR_HF_TOKEN") |
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response = client.text_generation("How the United States was discovered ?", model="ibrahimlasfar/elasfar-AI") |
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print(response) |
