---
license: other
license_name: cc-by-nc-4.0
license_link: https://creativecommons.org/licenses/by-nc/4.0/legalcode
tags:
- enzyme
- protein
- biology
- ec-prediction
- multimodal
- contrastive-learning
language:
- en
pipeline_tag: feature-extraction
---

# RAMER

This Hugging Face repository stores the official resources for **RAMER** (reaction-aware multimodal enzyme function representation model).

## What is stored in this repository

The repository mainly includes three resource groups:

- `model/`  
  Model weights and tokenizer/config files required for RAMER inference and training reproduction.

- `data/`  
  Benchmark and evaluation data (for example, test CSV/JSON files and related resources used in EC prediction workflows).

- `Background_library/`  
  Background embedding/index resources and dictionary files used by zero-shot retrieval pipelines (e.g., EC label dictionaries and background H5 files).

## Intended usage

These files are intended for:

- Zero-shot EC function prediction (`top1` and `max-separation`)
- Enzyme/non-enzyme binary classification based on RAMER embeddings
- Training/inference reproduction using the released scripts

## Deployment / pipeline reference

For end-to-end scripts, deployment examples, and pipeline details, please refer to the GitHub organization:

- [Ming-Ni-Group on GitHub](https://github.com/Ming-Ni-Group)

And the project repository:

- [Ming-Ni-Group/RAMER](https://github.com/Ming-Ni-Group/RAMER.git)

## Notes

- This repository is primarily a resource host (weights + data + background library).
- Runtime scripts and workflow orchestration are maintained in the GitHub code repository.

## License

The source code and model weights in this repository are licensed under the [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/legalcode) (CC BY-NC 4.0). See `LICENSE` for the full text.

Third-party base models (ProtT5, MolT5, GearNet) retain their original licenses. See `THIRD_PARTY_MODELS.md` for details.