Instructions to use AnonymousCS/populism_classifier_162 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_162 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_162")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_162") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_162", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dfbcf4d8dc3e5a2bc6e9bdab04dac6e0d748460287c90de2bcffcc95fc5fe7d
- Size of remote file:
- 5.43 kB
- SHA256:
- 0e87d2c6b85372be3f1c90c58452b390084ec68e7713ab3a32ae4c7a743debdb
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