Instructions to use AnonymousCS/populism_classifier_bsample_352 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_352 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_352")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_352") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_352") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4615e70944a46d1da1061270448f7f8ed310320192bf13f1a367f20193f03d2
- Size of remote file:
- 438 MB
- SHA256:
- d857b4d9ee4674ae64636f50d8a0394cff0ca5d4dbdfcf5d14731f2331857970
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