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Datamance
/
Longformer-ARDS-classifier

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

Instructions to use Datamance/Longformer-ARDS-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Datamance/Longformer-ARDS-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Datamance/Longformer-ARDS-classifier")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Datamance/Longformer-ARDS-classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Datamance/Longformer-ARDS-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Longformer-ARDS-classifier
2.38 GB
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
5d3e71d verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    21 Bytes
    initial commit almost 3 years ago
  • config.json
    1.07 kB
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  • model.safetensors
    595 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • optimizer.pt
    1.19 GB
    xet
    Upload folder using huggingface_hub almost 3 years ago
  • pytorch_model.bin
    595 MB
    xet
    Upload folder using huggingface_hub almost 3 years ago
  • rng_state.pth
    14 kB
    xet
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  • scheduler.pt
    1.06 kB
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  • trainer_state.json
    4.28 kB
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  • training_args.bin
    4.54 kB
    xet
    Upload folder using huggingface_hub almost 3 years ago