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neuralbioinfo
/
prokbert-mini-phage

Text Classification
Transformers
PyTorch
megatron-bert
prokbert
bioinformatics
genomics
sequence embedding
genomic language models
nucleotide
dna-sequence
promoter-prediction
phage
Model card Files Files and versions
xet
Community
2

Instructions to use neuralbioinfo/prokbert-mini-phage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use neuralbioinfo/prokbert-mini-phage with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="neuralbioinfo/prokbert-mini-phage")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("neuralbioinfo/prokbert-mini-phage")
    model = AutoModelForSequenceClassification.from_pretrained("neuralbioinfo/prokbert-mini-phage")
  • Notebooks
  • Google Colab
  • Kaggle
prokbert-mini-phage
82.6 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
ligeti's picture
ligeti
Upload tokenizer
1da9254 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    10 kB
    Update README.md about 2 years ago
  • config.json
    757 Bytes
    Finetuned long model for phage identification over 2 years ago
  • pytorch_model.bin
    82.6 MB
    xet
    Finetuned long model for phage identification over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.py
    16.4 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.3 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    28.7 kB
    Upload tokenizer over 1 year ago