Instructions to use AnonymousCS/populism_classifier_bsample_299 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_299 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_299")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_299") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_299", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38735ef77afe09b03af8154abe17d157b5ff83ba8ca93e16dd814eb938c8220d
- Size of remote file:
- 433 MB
- SHA256:
- d5876a8b14f0f0ab46c57558bb3d3d07ffeb68bd8bcaf609fd4abb2d84832add
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