Instructions to use AnonymousCS/populism_classifier_bsample_342 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_342 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_342")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_342") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_342") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7168bbaa0b1eed0ffdb8b10438de20998d709db5550e2f1acb0ca99b368d5f
- Size of remote file:
- 438 MB
- SHA256:
- ea7619e75bb597d58e880222a9e99bdda15fafa2b5d5487aaa4363978cd913f6
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