Instructions to use AnonymousCS/populism_classifier_bsample_412 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_412 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_412")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_412") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_412") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a9260927c6fe0cc9ab899bf9e91d876e2ab8046bb8d24cb7e401451167be813
- Size of remote file:
- 5.43 kB
- SHA256:
- 562b845e0333ae62bf0fda95318377e90afd0c1f365c26b921aa79b9602288dd
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