MolScribe

Introduction

MolScribe is a project hosted on Hugging Face, developed by the user "yujieq". It is a tool that likely involves machine learning models, potentially related to molecular data or chemistry, although specific details about its functionality are not provided in the README file.

Architecture

The architecture details of MolScribe are not specified in the information provided. Typically, such projects may involve a neural network or transformer model if they are related to text or molecular data processing.

Training

Information on the training process, datasets used, or performance metrics of MolScribe is not available in the provided content.

Guide: Running Locally

To run MolScribe locally, you would typically follow these steps:

1. Clone the repository from Hugging Face.
2. Install the necessary dependencies, which may include Python libraries and machine learning frameworks.
3. Set up the environment, which might involve configuring paths or data sources.
4. Execute the main script or entry point to start the application.

For enhanced performance, consider using cloud GPUs from providers such as AWS, Google Cloud, or Azure to accelerate model training or inference.

License

MolScribe is licensed under the MIT License. This is a permissive free software license that allows users to do anything they want with the project as long as they include a copy of the original license and copyright notice.