proteinbert

Community

Enable efficient protein language model deployment and fine-tuning.

Authordongg622
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It simplifies the process of deploying and adapting ProteinBERT models for protein sequence analysis tasks.

Core Features & Use Cases

  • Model Deployment and Conversion: Convert TensorFlow weights to PyTorch for NPU deployment.
  • Protein Sequence Embedding: Extract rich representations from protein sequences for downstream tasks.
  • Use Case: Researchers can quickly fine-tune the model on specific protein datasets or perform inference on custom sequences to obtain embeddings for further analysis.

Quick Start

Use the provided scripts to convert weights, extract embeddings, or perform inference directly on new protein sequences.

Dependency Matrix

Required Modules

pickletorchnumpyscikit-learn

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: proteinbert
Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#proteinbert

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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