Instructions to use Yehooor/merged_gemma_fake_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yehooor/merged_gemma_fake_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yehooor/merged_gemma_fake_detection")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Yehooor/merged_gemma_fake_detection") model = AutoModelForImageTextToText.from_pretrained("Yehooor/merged_gemma_fake_detection") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
Training the Gemma model on a dataset of Ukrainian fake news in the Ukrainian language
Model Details
We are pleased to present you the newly trained Gemma 3 4B model for detecting fake news in the Ukrainian and Russian information space. The dataset used is from the source: https://www.kaggle.com/datasets/zepopo/ukrainian-fake-and-true-news?resource=download
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [@hannaduda983]
Model Sources [optional]
- Repository: [google/gemma-3-4b-pt]
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