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newsmediabias
/
Bert_Toxicity_Classification

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

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

  • Libraries
  • Transformers

    How to use newsmediabias/Bert_Toxicity_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="newsmediabias/Bert_Toxicity_Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("newsmediabias/Bert_Toxicity_Classification")
    model = AutoModelForSequenceClassification.from_pretrained("newsmediabias/Bert_Toxicity_Classification")
  • Notebooks
  • Google Colab
  • Kaggle
Bert_Toxicity_Classification
439 MB
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  • 1 contributor
History: 3 commits
Mizanur
Upload tokenizer
950fb0b verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload BertForSequenceClassification about 2 years ago
  • config.json
    727 Bytes
    Upload BertForSequenceClassification about 2 years ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.38 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago