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Dmyadav2001
/
Sentimental-Analysis

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

Instructions to use Dmyadav2001/Sentimental-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dmyadav2001/Sentimental-Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Dmyadav2001/Sentimental-Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Dmyadav2001/Sentimental-Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("Dmyadav2001/Sentimental-Analysis")
  • Notebooks
  • Google Colab
  • Kaggle
Sentimental-Analysis
268 MB
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  • 1 contributor
History: 3 commits
Dmyadav2001's picture
Dmyadav2001
Create README.md
56daf81 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.93 kB
    Create README.md over 2 years ago
  • config.json
    769 Bytes
    Upload 5 files over 2 years ago
  • model.safetensors
    268 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.25 kB
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  • vocab.txt
    232 kB
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