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FreakingPotato
/
RNAElectra

Feature Extraction
Transformers
PyTorch
English
modernbert
genomics
rna
nucleotide
sequence-modeling
biology
bioinformatics
electra
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use FreakingPotato/RNAElectra with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="FreakingPotato/RNAElectra")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("FreakingPotato/RNAElectra")
    model = AutoModel.from_pretrained("FreakingPotato/RNAElectra")
  • Notebooks
  • Google Colab
  • Kaggle
RNAElectra
369 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
FreakingPotato's picture
FreakingPotato
Updated README
1735c76 about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    3.06 kB
    Updated README about 2 months ago
  • config.json
    1.19 kB
    Upload RNAElectra pretrained model weights and tokenizer about 2 months ago
  • pytorch_model.bin
    369 MB
    xet
    Upload RNAElectra pretrained model weights and tokenizer about 2 months ago
  • special_tokens_map.json
    173 Bytes
    Upload RNAElectra pretrained model weights and tokenizer about 2 months ago
  • tokenizer.py
    8.42 kB
    Upload RNAElectra pretrained model weights and tokenizer about 2 months ago
  • tokenizer_config.json
    1.51 kB
    Upload RNAElectra pretrained model weights and tokenizer about 2 months ago
  • vocab.json
    503 Bytes
    Upload RNAElectra pretrained model weights and tokenizer about 2 months ago