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ukkendane
/
BERT_SentimentAnalysis_News

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

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

  • Libraries
  • Transformers

    How to use ukkendane/BERT_SentimentAnalysis_News with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ukkendane/BERT_SentimentAnalysis_News")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ukkendane/BERT_SentimentAnalysis_News")
    model = AutoModelForSequenceClassification.from_pretrained("ukkendane/BERT_SentimentAnalysis_News")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_SentimentAnalysis_News
438 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
ukkendane's picture
ukkendane
Upload 2 files
9bc8a11 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    31 Bytes
    initial commit about 2 years ago
  • config.json
    881 Bytes
    Upload 2 files about 2 years ago
  • model.safetensors
    438 MB
    xet
    Upload 2 files about 2 years ago