Instructions to use AnonymousCS/populism_classifier_bsample_026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_026")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_026") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_026", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6843e7e944ace8034635f020596087a4799fd282da77617520960d3212258340
- Size of remote file:
- 711 MB
- SHA256:
- fca2ce96e76eabd1079b1cc4aa297fcd29cdfe1971b8ab8264231669e4cc05ca
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