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xiazeng
/
sciverbinary-model_train_dev_data-biobertl-abstract

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

Instructions to use xiazeng/sciverbinary-model_train_dev_data-biobertl-abstract with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xiazeng/sciverbinary-model_train_dev_data-biobertl-abstract with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xiazeng/sciverbinary-model_train_dev_data-biobertl-abstract")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xiazeng/sciverbinary-model_train_dev_data-biobertl-abstract")
    model = AutoModelForSequenceClassification.from_pretrained("xiazeng/sciverbinary-model_train_dev_data-biobertl-abstract", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sciverbinary-model_train_dev_data-biobertl-abstract
File size: 2 Bytes
10a8c83
1
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