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roa7n
/
DNABert_K6_G_quad

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Model card Files Files and versions
xet
Community
2

Instructions to use roa7n/DNABert_K6_G_quad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use roa7n/DNABert_K6_G_quad with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="roa7n/DNABert_K6_G_quad")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("roa7n/DNABert_K6_G_quad")
    model = AutoModelForSequenceClassification.from_pretrained("roa7n/DNABert_K6_G_quad", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DNABert_K6_G_quad
357 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 471 commits
roa7n's picture
roa7n
update model card README.md
b2fc072 almost 4 years ago
  • .gitattributes
    1.43 kB
    initial commit almost 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 almost 4 years ago
  • README.md
    2.88 kB
    update model card README.md almost 4 years ago
  • config.json
    854 Bytes
    Training in progress, step 500 almost 4 years ago
  • pytorch_model.bin
    357 MB
    xet
    DNABert_K6_G_quad almost 4 years ago
  • training_args.bin
    3.38 kB
    xet
    Training in progress, step 500 almost 4 years ago