Instructions to use AnonymousCS/populism_classifier_bsample_047 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_047 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_047")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_047") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_047") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d410177a47fec2f4b16ea8093c9169d571a84161c1eeae9551253c64c60b2049
- Size of remote file:
- 669 MB
- SHA256:
- d54378ed696e072b2b40d9bb3a7b9d9a315b5b77a55e13b328461d80b79e2f1e
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