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@@ -46,9 +46,9 @@ Training LLM for React specific dataset and enable reasoning task. This LLM prov
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  ## How It Works
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- 1. **Data Collection**: The model is trained on (Microsoft's Phi4) model output whare 1000s of react specific senerios. it does provide us cold start with good reasoning capabilities
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- 2. **Feature Extraction**: Upscalling it using RL to enable model with heigh level of accuracy and better output for reasoning.l
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  3. **Machine Learning**: A sophisticated machine learning algorithm is employed to learn the heigh quality code in React Specific code and can be expand to all freamwork.
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@@ -66,14 +66,10 @@ Training LLM for React specific dataset and enable reasoning task. This LLM prov
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  1. Clone this repository:
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  ```bash
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- git clone https://huggingface.co/nehulagrawal/baby-cry-classification
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- cd baby-cry-classifier
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  ```
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- 2. Download the pre-trained model files:
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- 'model.joblib'
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- 'label.joblib'
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-
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  ### Usage
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  1. Import the necessary libraries:
@@ -125,7 +121,7 @@ For inquiries and contributions, please contact us at [email protected].
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  ```bibtex
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  @ModelCard{
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- author = {Nehul Agrawal, Priyal Mata and Ayush Panday},
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  title = {Think and Code in React},
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  year = {2025}
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  }
 
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  ## How It Works
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+ 1. **Data Collection**: The model is trained on 1000's of react specific senerios. it does provide us cold start with good reasoning capabilities
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+ 2. **Feature Extraction**: Upscalling it using RL to enable model with heigh level of accuracy and better output for reasoning.
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  3. **Machine Learning**: A sophisticated machine learning algorithm is employed to learn the heigh quality code in React Specific code and can be expand to all freamwork.
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  1. Clone this repository:
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  ```bash
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+ git clone https://huggingface.co/foduucom/Think-and-Code-React
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+ cd Think-and-Code-React
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  ```
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  ### Usage
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  1. Import the necessary libraries:
 
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  ```bibtex
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  @ModelCard{
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+ author = {Nehul Agrawal, Priyal Mehta and Ayush Panday},
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  title = {Think and Code in React},
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  year = {2025}
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  }