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xqewec
/
title_classifier

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

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

  • Libraries
  • Transformers

    How to use xqewec/title_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xqewec/title_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xqewec/title_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("xqewec/title_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
title_classifier
500 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
xqewec's picture
xqewec
Update README.md
a3ed8b4 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    895 Bytes
    Update README.md almost 3 years ago
  • config.json
    1.07 kB
    label update almost 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer almost 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    Upload RobertaForSequenceClassification almost 3 years ago
  • special_tokens_map.json
    957 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    1.34 kB
    Upload tokenizer almost 3 years ago
  • vocab.json
    999 kB
    Upload tokenizer almost 3 years ago