Instructions to use AnonymousCS/populism_classifier_bsample_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_400")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_400") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afdc7425c12f0b093cd7961f807bbccb49bab746adef78f881f84030a836fbb5
- Size of remote file:
- 2.3 GB
- SHA256:
- c805cb2473fc5653aa743fd25be59e69d1f92020b1b6a3c584a827cab1210c45
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