Instructions to use AnonymousCS/populism_classifier_328 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_328 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_328")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_328") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_328", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5471b1294b56099eae8e4e4439b559a735f29868cc7e339656ad9c245d54ccaf
- Size of remote file:
- 5.43 kB
- SHA256:
- c16d4b4a5d8210d5ee704fda3927f33fd69e7ec14d634d89c0fdb3499fd930c4
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