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jkefeli
/
CancerStage_Classifier_M

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

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

  • Libraries
  • Transformers

    How to use jkefeli/CancerStage_Classifier_M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jkefeli/CancerStage_Classifier_M")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jkefeli/CancerStage_Classifier_M")
    model = AutoModelForSequenceClassification.from_pretrained("jkefeli/CancerStage_Classifier_M", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CancerStage_Classifier_M
1.02 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
edadf68 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    293 Bytes
    Create README.md about 3 years ago
  • config.json
    943 Bytes
    Upload 2 files about 3 years ago
  • model.safetensors
    512 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    512 MB
    xet
    Upload 2 files about 3 years ago