Instructions to use AnonymousCS/populism_classifier_bsample_040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_040 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_040")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_040") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_040") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fa06b23b8f68589f172bc903136ae2cb3a6fc0f78a9c8fc8e555a1a313847c5
- Size of remote file:
- 669 MB
- SHA256:
- f4b944050fc4addc70c47f4677ff21f23ff0394b6cc6b253efedaae4ce843746
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