Instructions to use AnonymousCS/populism_classifier_356 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_356 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_356")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_356") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_356", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d055778c5c947bb65b44b39872b595607254770991977014dd963a066438745e
- Size of remote file:
- 5.43 kB
- SHA256:
- 6e5589d0e0e117d28fb8b3e3848560e8de4059e56cdb9e0ab07b540065a7d66a
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