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ruben09
/
multi_class_text_sentiment

TF-Keras
Model card Files Files and versions
xet
Community

Instructions to use ruben09/multi_class_text_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • TF-Keras

    How to use ruben09/multi_class_text_sentiment with TF-Keras:

    # Note: 'keras<3.x' or 'tf_keras' must be installed (legacy)
    # See https://github.com/keras-team/tf-keras for more details.
    from huggingface_hub import from_pretrained_keras
    
    model = from_pretrained_keras("ruben09/multi_class_text_sentiment")
    
  • Notebooks
  • Google Colab
  • Kaggle
multi_class_text_sentiment
38.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
ruben09's picture
ruben09
add tokenizer
dd44f92 verified over 1 year ago
  • variables
    add tokenizer over 1 year ago
  • .gitattributes
    1.6 kB
    multi class text sentiment analysis over 1 year ago
  • fingerprint.pb
    55 Bytes
    xet
    add tokenizer over 1 year ago
  • multi_class_text_sentiment.h5
    18.8 MB
    xet
    upload h5 model over 1 year ago
  • saved_model.pb
    220 kB
    xet
    add tokenizer over 1 year ago
  • tokenizer.pkl

    Detected Pickle imports (4)

    • "builtins.int",
    • "collections.OrderedDict",
    • "keras.src.legacy.preprocessing.text.Tokenizer",
    • "collections.defaultdict"

    How to fix it?

    604 kB
    xet
    add tokenizer over 1 year ago