Instructions to use premsa/political-bias-prediction-allsides-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use premsa/political-bias-prediction-allsides-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="premsa/political-bias-prediction-allsides-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("premsa/political-bias-prediction-allsides-BERT") model = AutoModelForSequenceClassification.from_pretrained("premsa/political-bias-prediction-allsides-BERT") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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nlp = pipeline("text-classification", model=model, tokenizer=tokenizer)
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print(nlp("the masses are controlled by media.
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if __name__ == "__main__":
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main(repository="premsa/political-bias-prediction-allsides-BERT")
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nlp = pipeline("text-classification", model=model, tokenizer=tokenizer)
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print(nlp("the masses are controlled by media."))
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if __name__ == "__main__":
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main(repository="premsa/political-bias-prediction-allsides-BERT")
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