Instructions to use x-g85/X_G85_LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use x-g85/X_G85_LSTM 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("x-g85/X_G85_LSTM") - Notebooks
- Google Colab
- Kaggle
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license: mit
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license: mit
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library_name: tf-keras
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datasets:
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- x-g85/x_g85_fn_dataset
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: text-classification
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tags:
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- fake-news
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- lstm
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---
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# X_G85 LSTM MODEL
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LSTM architecture fake news detection model.
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## Parameters
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<img src="assets/params.png" alt="Model parameters">
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## Website
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The model is deployed following [link](https://huggingface.co/spaces/x-g85/fake-news)
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<img src="assets/lstm-website.png" alt="Model website">
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