Instructions to use AnonymousCS/populism_classifier_bsample_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_400")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_400") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec085c53ffaa1e98975d7aa564a18560d6cc65bc320f33183beb10b9f3ae49a
- Size of remote file:
- 5.43 kB
- SHA256:
- 9c234c9d98249e665d1a60ba309fbb8a07f1522e1465da9e76717f640aa3f9b1
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