| # Gemma Project | |
| ## Overview | |
| This project involves setting up and running inference using a pre-trained model configured with Low-Rank Adaptation (LoRA). The main components include: | |
| - **gemma.ipynb**: A Jupyter notebook for configuring and experimenting with the model. | |
| - **Inference.py**: A Python script for loading the model and tokenizer, and running inference with specified configurations. | |
| ## Files | |
| ### gemma.ipynb | |
| This notebook includes: | |
| 1. **Loading Lora Configuration**: Setting up the LoRA configuration for the model. | |
| 2. **Loading Model and Tokenizer**: Loading the pre-trained model and tokenizer for further tasks. | |
| 3. Additional cells likely involve experimenting with model fine-tuning and evaluation. | |
| ### Inference.py | |
| This script includes: | |
| 1. **Importing Libraries**: Necessary imports including transformers, torch, and specific configurations. | |
| 2. **Model and Tokenizer Setup**: Loading the model and tokenizer from the specified paths. | |
| 3. **Quantization Configuration**: Applying quantization for efficient model computation. | |
| 4. **Inference Execution**: Running inference on the input data. | |
| ## Setup | |
| ### Requirements | |
| - Python 3.x | |
| - Jupyter Notebook | |
| - PyTorch | |
| - Transformers | |
| - Peft | |
| ### Installation | |
| 1. Clone the repository: | |
| ```bash | |
| git clone <repository_url> | |
| cd <repository_directory> | |
| ``` | |
| 2. Install the required packages: | |
| ```bash | |
| pip install torch transformers peft jupyter | |
| ``` | |
| ## Usage | |
| ### Running the Notebook | |
| 1. Open the Jupyter notebook: | |
| ```bash | |
| jupyter notebook gemma.ipynb | |
| ``` | |
| 2. Follow the instructions in the notebook to configure and experiment with the model. | |
| ### Running the Inference Script | |
| 1. Execute the inference script: | |
| ```bash | |
| python Inference.py | |
| ``` | |
| 2. The script will load the model and tokenizer, apply the necessary configurations, and run inference on the provided input. | |
| ## Notes | |
| - Ensure that you have the necessary permissions and access tokens for the pre-trained models. | |
| - Adjust the configurations in the notebook and script as needed for your specific use case. | |
| ## License | |
| This project is licensed under the MIT License. | |
| ## Acknowledgements | |
| - [Hugging Face Transformers](https://huggingface.co/transformers/) | |
| - [PyTorch](https://pytorch.org/) | |
| - [LoRA (Low-Rank Adaptation)](https://arxiv.org/abs/2106.09685) | |