Instructions to use AnonymousCS/populism_classifier_bsample_312 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_312 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_312")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_312") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_312", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 583bf4ee13e37f0cc6b1045dbdcc5612bba69fe14298e701af08b06877321914
- Size of remote file:
- 433 MB
- SHA256:
- e80b55a7bb2551c92497778f0896534b437fa5c358419006304a868e07ccf487
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