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Stremie
/
roberta-base-clickbait

Text Classification
Transformers
PyTorch
English
roberta
Tweet
Twitter
Clickbait
Spam
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Stremie/roberta-base-clickbait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Stremie/roberta-base-clickbait with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Stremie/roberta-base-clickbait")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Stremie/roberta-base-clickbait")
    model = AutoModelForSequenceClassification.from_pretrained("Stremie/roberta-base-clickbait")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-clickbait
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
Stremie's picture
Stremie
Update README.md
517de05 over 3 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    673 Bytes
    Update README.md over 3 years ago
  • config.json
    885 Bytes
    add model over 3 years ago
  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    add model over 3 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    385 Bytes
    add tokenizer about 4 years ago
  • vocab.json
    798 kB
    add tokenizer about 4 years ago