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KAlex13
/
news

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use KAlex13/news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KAlex13/news with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="KAlex13/news")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("KAlex13/news")
    model = AutoModelForSequenceClassification.from_pretrained("KAlex13/news")
  • Notebooks
  • Google Colab
  • Kaggle
news
819 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
KAlex13's picture
KAlex13
Upload tokenizer
11523b6 almost 3 years ago
  • news_class_content
    Update news_class_content/README.MD about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.MD
    160 Bytes
    Update from User about 3 years ago
  • config.json
    908 Bytes
    Update from User about 3 years ago
  • pytorch_model.bin
    409 MB
    xet
    Update from User about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tokenizer.json
    439 kB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    394 Bytes
    Upload tokenizer almost 3 years ago
  • vocab.txt
    110 kB
    Upload tokenizer almost 3 years ago