Instructions to use AnonymousCS/populism_classifier_bsample_178 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_178 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_178")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_178") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_178") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b18e8ddad349368aa316529e15d3eb33f8e8a792d16c72eb3733a13c4bb97efd
- Size of remote file:
- 669 MB
- SHA256:
- 91fd418acfa5e681d3af1f473f3537081877fb47f43754cde46f468db21f403a
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