Instructions to use AnonymousCS/populism_classifier_321 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_321 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_321")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_321") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_321", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb460d6a3d9ddf3b55d1918959b79710095409a8605fa3d1d44c2b3a039b7eae
- Size of remote file:
- 5.43 kB
- SHA256:
- d8c9b65eb143f463f84fb987bc06990a41f1edd7e119f9af2b469c87e971099f
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