Instructions to use AnonymousCS/populism_classifier_bsample_151 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_151 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_151")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_151") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_151") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18c693b82aa4a422debc214302220e088215ce3eb2b69f4932c7238af11925b5
- Size of remote file:
- 711 MB
- SHA256:
- 4e1243f68c2b8ef91a514a4f26ee6b3de5b95a67d0ed59e7ff1c704c2802bdd6
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