Instructions to use AnonymousCS/populism_classifier_136 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_136 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_136")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_136") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_136", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 631f8c8803e15fd61f5ebfa7d4f9ca93ded1f324de495d2e8a14084a2585a16c
- Size of remote file:
- 5.43 kB
- SHA256:
- 3a0eb1bab67e851e1107a350e0a1d7683e00f551a0472f1f9a78bf6b2658da22
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