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keras-io
/
sentiment-analysis

Text Classification
Transformers
google-tensorflow TensorFlow
TensorBoard
distilbert
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use keras-io/sentiment-analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="keras-io/sentiment-analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("keras-io/sentiment-analysis")
    model = AutoModelForSequenceClassification.from_pretrained("keras-io/sentiment-analysis")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analysis / logs
4.48 MB
Ctrl+K
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  • 3 contributors
History: 4 commits
merve's picture
merve HF Staff
Training in progress epoch 1
70f1f0f over 4 years ago
  • train
    Training in progress epoch 1 over 4 years ago
  • validation
    Training in progress epoch 1 over 4 years ago