Instructions to use q3fer/distilbert-base-fallacy-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use q3fer/distilbert-base-fallacy-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="q3fer/distilbert-base-fallacy-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("q3fer/distilbert-base-fallacy-classification") model = AutoModelForSequenceClassification.from_pretrained("q3fer/distilbert-base-fallacy-classification") - Notebooks
- Google Colab
- Kaggle
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## Example Pipeline
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```
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from transformers import pipeline
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text = "We know that the earth is flat because it looks and feels flat."
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## Example Pipeline
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```python
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from transformers import pipeline
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text = "We know that the earth is flat because it looks and feels flat."
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