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ReynaQuita
/
twitter_disaster_bart

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

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

  • Libraries
  • Transformers

    How to use ReynaQuita/twitter_disaster_bart with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ReynaQuita/twitter_disaster_bart")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ReynaQuita/twitter_disaster_bart")
    model = AutoModelForSequenceClassification.from_pretrained("ReynaQuita/twitter_disaster_bart")
  • Notebooks
  • Google Colab
  • Kaggle
twitter_disaster_bart
1.63 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
ReynaQuita's picture
ReynaQuita
add tokenizer
066dee0 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    1.69 kB
    add model over 4 years ago
  • merges.txt
    456 kB
    add tokenizer over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    1.63 GB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    1.36 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    332 Bytes
    add tokenizer over 4 years ago
  • vocab.json
    798 kB
    add tokenizer over 4 years ago