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DunnBC22
/
albert-base-v2-Tweet_About_Disaster_Or_Not

Text Classification
Transformers
PyTorch
TensorBoard
English
albert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use DunnBC22/albert-base-v2-Tweet_About_Disaster_Or_Not with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DunnBC22/albert-base-v2-Tweet_About_Disaster_Or_Not with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DunnBC22/albert-base-v2-Tweet_About_Disaster_Or_Not")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DunnBC22/albert-base-v2-Tweet_About_Disaster_Or_Not")
    model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/albert-base-v2-Tweet_About_Disaster_Or_Not")
  • Notebooks
  • Google Colab
  • Kaggle
albert-base-v2-Tweet_About_Disaster_Or_Not / runs
20.1 kB
Ctrl+K
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  • 1 contributor
History: 8 commits
DunnBC22's picture
DunnBC22
All Dunn!!!
2e7e225 over 3 years ago
  • Feb23_19-04-32_Brians-Mac-mini.local
    All Dunn!!! over 3 years ago
  • .DS_Store
    6.15 kB
    xet
    update model card README.md over 3 years ago