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@@ -17,24 +17,12 @@ A Transformer-based classifier that checks if a provided last name is likely to
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  ## Table of Contents
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- - [Overview](#overview)
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  - [Project Structure](#project_structure)
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  - [Installation](#installation)
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  - [Usage](#usage)
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  - [Support Me](#support-me)
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  - [License](#license)
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- ## Overview
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- The goal of this project is to determine if a given first name is "real" (from a curated dataset) or "fake" (randomly generated). The project includes:
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- - **Custom Reinforcement Learning Setup:** Using OpenAI Gym and PPO for training.
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- - **Transformer Fine-tuning:** Leveraging a pre-trained DistilBERT model with Hugging Face’s Trainer API.
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- - **Deployment:** Code for a Flask API for real-time inference.
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- - **Model Hosting:** Support for pushing the model (in `.safetensors` format) to a private Hugging Face repository, ensuring seamless CPU/GPU usage.
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- ---
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  ## Project Structure
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  ```
 
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  ---
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  ## Table of Contents
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  - [Project Structure](#project_structure)
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  - [Installation](#installation)
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  - [Usage](#usage)
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  - [Support Me](#support-me)
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  - [License](#license)
 
 
 
 
 
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  ## Project Structure
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  ```