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philippelaban
/
headline_grouping

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

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

  • Libraries
  • Transformers

    How to use philippelaban/headline_grouping with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="philippelaban/headline_grouping")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("philippelaban/headline_grouping")
    model = AutoModelForSequenceClassification.from_pretrained("philippelaban/headline_grouping")
  • Notebooks
  • Google Colab
  • Kaggle
headline_grouping
438 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
philippelaban's picture
philippelaban
Uploading model and tokenizer
e8120f3 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • config.json
    728 Bytes
    Uploading model and tokenizer almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Uploading model and tokenizer almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    Uploading model and tokenizer almost 5 years ago
  • tokenizer_config.json
    268 Bytes
    Uploading model and tokenizer almost 5 years ago
  • vocab.txt
    232 kB
    Uploading model and tokenizer almost 5 years ago