ANKH-LARGE

Introduction

ANKH-LARGE is a protein language model designed for biological research. It leverages text-to-text generation capabilities to provide protein embeddings, which are useful in various biological and protein-related tasks. The model is built using the Transformers library and is compatible with PyTorch.

Architecture

ANKH-LARGE is based on the T5 architecture, commonly used for text generation and inference tasks. It is tailored for applications in biology, specifically focusing on protein language modeling and embeddings.

Training

Detailed information about the training process and data used for ANKH-LARGE is not provided in the available documentation. The model is likely fine-tuned for specific protein-related tasks using specialized datasets.

Guide: Running Locally

To run ANKH-LARGE locally, follow these basic steps:

1. Install Dependencies: Ensure you have Python, PyTorch, and the Transformers library installed.
2. Download the Model: Clone the model repository from Hugging Face's model hub.
3. Load the Model: Use the Transformers library to load the model and tokenizer.
4. Inference: Run inference using your protein sequences as input.

For efficient performance, especially on large datasets, consider using cloud GPU services such as AWS, Google Cloud, or Azure.

License

ANKH-LARGE is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (cc-by-nc-sa-4.0). This license allows for sharing and adaptation under non-commercial terms, with appropriate credit and similar distribution of derivative works.