Instructions to use AnonymousCS/populism_classifier_bsample_024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_024") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 626ab9c6c60aeddff0d25deb5fb32860f2390749dbd9a572b735b96fe10c1089
- Size of remote file:
- 711 MB
- SHA256:
- 4168211ba7e75b71c35ea955e1bc1b744888d01e84f602ac2c68ebddafff8984
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