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
library_name: tf-keras
datasets:
- x-g85/x_g85_fn_dataset
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
tags:
- fake-news
- lstm
---
# X_G85 LSTM MODEL
LSTM architecture fake news detection model.
## Parameters
<img src="assets/params.png" alt="Model parameters">
## Website
The model is deployed following [link](https://huggingface.co/spaces/x-g85/fake-news)
<img src="assets/lstm-website.png" alt="Model website"> |