Text Classification
Transformers
Safetensors
Ukrainian
Russian
xlm-roberta
manipulation
ukraine
russia
telegram
multi-label
text-embeddings-inference
Instructions to use olehmell/xlm-roberta-posts-manipulation-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use olehmell/xlm-roberta-posts-manipulation-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="olehmell/xlm-roberta-posts-manipulation-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("olehmell/xlm-roberta-posts-manipulation-classifier") model = AutoModelForSequenceClassification.from_pretrained("olehmell/xlm-roberta-posts-manipulation-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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7. Thought-Terminating Cliché: Commonly used phrases that mitigate cognitive dissonance and block critical thinking.
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8. Whataboutism: Discrediting the opponent's position by accusing them of hypocrisy without directly refuting their arguments.
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9. Cherry Picking: Selective use of data or facts that support a hypothesis while ignoring counterarguments.
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10.Straw Man: Distorting the opponent's position by replacing it with a weaker or outwardly similar one and refuting it instead.
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## Training Data
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7. Thought-Terminating Cliché: Commonly used phrases that mitigate cognitive dissonance and block critical thinking.
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8. Whataboutism: Discrediting the opponent's position by accusing them of hypocrisy without directly refuting their arguments.
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9. Cherry Picking: Selective use of data or facts that support a hypothesis while ignoring counterarguments.
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10. Straw Man: Distorting the opponent's position by replacing it with a weaker or outwardly similar one and refuting it instead.
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## Training Data
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