Delete README.md

README.md

@@ -1,39 +0,0 @@
-# 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.