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kaniskaZoro
/
sentiment-analyzer

Text Classification
Transformers
Safetensors
English
sentiment-analysis
Model card Files Files and versions
xet
Community

Instructions to use kaniskaZoro/sentiment-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kaniskaZoro/sentiment-analyzer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kaniskaZoro/sentiment-analyzer")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("kaniskaZoro/sentiment-analyzer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analyzer / sample_data
56.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
kaniskaZoro's picture
kaniskaZoro
Upload folder using huggingface_hub
79a5c2a verified 12 months ago
  • README.md
    962 Bytes
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  • anscombe.json
    1.7 kB
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  • california_housing_test.csv
    301 kB
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  • california_housing_train.csv
    1.71 MB
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  • mnist_test.csv
    18.3 MB
    xet
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  • mnist_train_small.csv
    36.5 MB
    xet
    Upload folder using huggingface_hub 12 months ago