Instructions to use AnonymousCS/populism_classifier_bsample_005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_005 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_005")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_005") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_005") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f7cbf4ed117e4adb0f7ccc17b0d8a3a521a97501a46bb2700659e258cd99578
- Size of remote file:
- 711 MB
- SHA256:
- fa99ca23b07d8657e16e7292dbdc0a4a32df699e2a2e3e250ae1749f05fc7da4
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