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duttaprat
/
DeepVRegulome

Text Classification
Transformers
bert
biology
genomics
dna
variant-effect-prediction
dnabert
deepvregulome
transcription-factors
histone-modifications
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xet
Community

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

  • Libraries
  • Transformers

    How to use duttaprat/DeepVRegulome with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="duttaprat/DeepVRegulome")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("duttaprat/DeepVRegulome")
    model = AutoModelForSequenceClassification.from_pretrained("duttaprat/DeepVRegulome")
  • Notebooks
  • Google Colab
  • Kaggle
DeepVRegulome
165 GB
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  • 1 contributor
History: 567 commits
duttaprat's picture
duttaprat
Create config.json
8366bb3 verified 8 days ago
  • models
    Upload models/SNRNP70/ (5 files) about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    32.5 kB
    Upload README.md with huggingface_hub about 2 months ago
  • config.json
    191 Bytes
    Create config.json 8 days ago