Add sequence modeling files

.gitignore

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+# Jupyter Notebook Checkpoints
+.ipynb_checkpoints/ 

README.md

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+# Sequence Modeling
+
+This repository contains code, experiments, and resources for sequence modeling techniques, including RNNs, LSTMs, GRUs, and Transformer-based models. The project is organized for educational and research purposes, with Jupyter notebooks and requirements for easy setup.
+
+## Contents
+- `implementation.ipynb`: Main notebook with sequence modeling implementations and experiments.
+- `requirements.txt`: Python dependencies for running the notebooks.
+
+## Usage
+1. Clone the repository:
+   ```bash
+   git clone https://github.com/GruheshKurra/SequenceModeling.git
+   ```
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. Open and run the notebook:
+   ```bash
+   jupyter notebook implementation.ipynb
+   ```
+
+## Links
+- [GitHub Repository](https://github.com/GruheshKurra/SequenceModeling)
+- [Hugging Face Hub](https://huggingface.co/karthik-2905/SequenceModeling)
+
+## License
+MIT License 

README_HF.md

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+# Sequence Modeling on Hugging Face Hub
+
+This repository hosts sequence modeling resources, including code and experiments for RNNs, LSTMs, GRUs, and Transformers. The project is designed for learning and research, with ready-to-run Jupyter notebooks.
+
+## How to Use
+- Download or clone the repository from the Hugging Face Hub.
+- Install dependencies from `requirements.txt`.
+- Open `implementation.ipynb` in Jupyter and follow the instructions.
+
+## Useful Links
+- [GitHub Source](https://github.com/GruheshKurra/SequenceModeling)
+- [Hugging Face Hub](https://huggingface.co/karthik-2905/SequenceModeling)
+
+## License
+MIT License 

requirements.txt

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+torch>=1.9.0
+numpy>=1.21.0
+pandas>=1.3.0
+scikit-learn>=1.0.0
+matplotlib>=3.4.0
+seaborn>=0.11.0
+jupyter>=1.0.0
+ipython>=7.25.0