Instructions to use Dewa/fake-news-detector_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dewa/fake-news-detector_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dewa/fake-news-detector_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dewa/fake-news-detector_v1") model = AutoModelForSequenceClassification.from_pretrained("Dewa/fake-news-detector_v1") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
The Model aims to detect fake news based on the text of a news-article
Model Details
Model is fine-tunned using kaggle-fake-news dataset
Bias, Risks, and Limitations
The model can be biased sometime,🤝 as it predicts the news article is fake or real based on the text😔 ..it does not cross check the facts. [More Information Needed]
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