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Gaborandi
/
Bert_news_classifier

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

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

  • Libraries
  • Transformers

    How to use Gaborandi/Bert_news_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Gaborandi/Bert_news_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Gaborandi/Bert_news_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("Gaborandi/Bert_news_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
Bert_news_classifier
876 MB
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  • 2 contributors
History: 5 commits
Gaborandi's picture
Gaborandi
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
ca1a38a almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    205 Bytes
    Create README.md about 3 years ago
  • config.json
    727 Bytes
    Upload BertForSequenceClassification about 3 years ago
  • model.safetensors
    438 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Upload BertForSequenceClassification about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    400 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 3 years ago