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AI4Protein
/
deep_bpe_400

Feature Extraction
Transformers
PyTorch
roformer
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Model card Files Files and versions
xet
Community
3

Instructions to use AI4Protein/deep_bpe_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AI4Protein/deep_bpe_400 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AI4Protein/deep_bpe_400")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("AI4Protein/deep_bpe_400")
    model = AutoModelForMaskedLM.from_pretrained("AI4Protein/deep_bpe_400")
  • Notebooks
  • Google Colab
  • Kaggle

This repository contains the models introduced in the paper VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning.

Code: https://github.com/tyang816/VenusFactory

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Paper for AI4Protein/deep_bpe_400

VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning

Paper • 2503.15438 • Published Mar 19, 2025 • 4
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