This repository contains resources for working with training LLM on blockchain transaction data. Here we share the finetuned model and tokenizer with some examples of how to use them. We will share more resources in the future.
The finetuned model and tokenizer are hosted at https://github.com/sec3-service/Owl-LM/releases/tag/v1.0 and the folder LLM_for_Blockchain, respectively.
README.md: This file.
example.csv: Contains samples of Ethereum transactions for classification. This dataset includes detailed transaction data.
example_hash.csv: Contains samples of Ethereum transactions for classification. This dataset does not include detailed transaction data.
example.ipynb: A Jupyter notebook that provides example usage of the model.
requirements.txt: Lists the Python dependencies required for using the code in this repository.
LLM_for_Blockchain: folder containing the LLM model.
Clone this repository:
git clone https://github.com/sec3-service/Owl-LM.git
Navigate to the cloned repository:
cd Owl-LM
Install the required Python dependencies:
pip install -r requirements.txt
Use example.ipynb as a guide to classify Ethereum transactions using the provided model. You can run the notebook using Jupyter.