Instructions to use Mapika/hu-covid-fake-news-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mapika/hu-covid-fake-news-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mapika/hu-covid-fake-news-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mapika/hu-covid-fake-news-classifier") model = AutoModelForSequenceClassification.from_pretrained("Mapika/hu-covid-fake-news-classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model was
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## Model description
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# hu-covid-fake-news-classifier
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This model is a finetuned version of the (hubert-base-cc)[https://huggingface.co/SZTAKI-HLT/hubert-base-cc] and was finetuned for covid fake news detection in hungarian for the BME MIGT2022 competition.
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## Model description
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