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fransiskaarthaa
/
text-summarize-fix

Summarization
Keras
text-to-text
Model card Files Files and versions
xet
Community

Instructions to use fransiskaarthaa/text-summarize-fix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Keras

    How to use fransiskaarthaa/text-summarize-fix with Keras:

    # Available backend options are: "jax", "torch", "tensorflow".
    import os
    os.environ["KERAS_BACKEND"] = "jax"
    
    import keras
    
    model = keras.saving.load_model("hf://fransiskaarthaa/text-summarize-fix")
    
  • Notebooks
  • Google Colab
  • Kaggle
text-summarize-fix
106 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
fransiskaarthaa's picture
fransiskaarthaa
Upload README.md
84ff30f verified 11 months ago
  • .gitattributes
    1.58 kB
    Upload folder using huggingface_hub 11 months ago
  • README.md
    614 Bytes
    Upload README.md 11 months ago
  • best_summarization_model.h5
    52.1 MB
    xet
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  • input_tokenizer.pickle

    Detected Pickle imports (4)

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

    How to fix it?

    1.32 MB
    xet
    Upload folder using huggingface_hub 11 months ago
  • output_tokenizer.pickle

    Detected Pickle imports (4)

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

    How to fix it?

    645 kB
    xet
    Upload folder using huggingface_hub 11 months ago
  • summarizer.py
    9.83 kB
    Upload folder using huggingface_hub 11 months ago
  • text_processing.py
    1.16 kB
    Upload folder using huggingface_hub 11 months ago
  • text_summarizer_model.keras
    52.1 MB
    xet
    Upload folder using huggingface_hub 11 months ago