Instructions to use AnonymousCS/populism_classifier_360 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_360 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_360")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_360") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_360", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f01bb25f5c80cb8b1d189e2ffa643b3c3a1e68a2352970985451b0125aba739
- Size of remote file:
- 5.43 kB
- SHA256:
- abbcb9a86eb89e601a64915aa2f6ae193f407cfb3254565a79803c90e90876f8
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