Instructions to use AnonymousCS/populism_classifier_291 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_291 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_291")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_291") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_291") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14b2d48c7a25c85cc35231d1eb3a5ba468f2189cdd618bed1429de651c9a02fb
- Size of remote file:
- 433 MB
- SHA256:
- fd027632a6540d250ed29314040ed88d5033c2b4ae66445b8f0bef9af8d20444
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