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dancingninjas
/
sentiment-model

Text Classification
Transformers
google-tensorflow TensorFlow
English
distilbert
text classification
transformer
sentiment analysis
TensorFlow
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use dancingninjas/sentiment-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dancingninjas/sentiment-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dancingninjas/sentiment-model")
    model = AutoModelForSequenceClassification.from_pretrained("dancingninjas/sentiment-model")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-model
797 MB
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  • 1 contributor
History: 12 commits
dancingninjas's picture
dancingninjas
Delete tokenizer_config.json
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  • README.md
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  • config.json
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  • variables.data-00000-of-00001
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    xet
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  • variables.index
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  • vocab.txt
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