Instructions to use AnonymousCS/populism_classifier_133 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_133 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_133")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_133") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_133", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9b074f90ddc366f06c92a51f90bf464fc8d3134663d45880c6411b1734e0769
- Size of remote file:
- 5.43 kB
- SHA256:
- 4d597cbdb87a5431848f62eaa99fd1f2f24c0eec18843d66cebfbaf968918778
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