Instructions to use MYC007/Real-and-Fake-News-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MYC007/Real-and-Fake-News-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MYC007/Real-and-Fake-News-Detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MYC007/Real-and-Fake-News-Detection") model = AutoModelForSequenceClassification.from_pretrained("MYC007/Real-and-Fake-News-Detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
A fake news detector using hybrid deep learning.
Dataset: https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset
Training involved using hyperparameter search with 10 trials.
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