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CWrecker
/
BIOBert-Classification

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use CWrecker/BIOBert-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CWrecker/BIOBert-Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="CWrecker/BIOBert-Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CWrecker/BIOBert-Classification")
    model = AutoModelForSequenceClassification.from_pretrained("CWrecker/BIOBert-Classification")
  • Notebooks
  • Google Colab
  • Kaggle
BIOBert-Classification
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  • 1 contributor
History: 4 commits
CWrecker's picture
CWrecker
Delete tokenizer.json
3f171f8 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    992 Bytes
    Upload 7 files about 3 years ago
  • pytorch_model.bin
    433 MB
    xet
    Upload 7 files about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 7 files about 3 years ago
  • tokenizer_config.json
    367 Bytes
    Upload 7 files about 3 years ago
  • vocab.txt
    213 kB
    Upload 7 files about 3 years ago