Instructions to use AnonymousCS/populism_classifier_394 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_394 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_394")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_394") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_394") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ecfe2d0c2d5c81b1b238b05a56e0cb75f5328e5cac6cecf5b5c0fb3dd76b937
- Size of remote file:
- 5.43 kB
- SHA256:
- 1f623c155780da346f7db133e795f9a56ff84c160cccc26dab0043da2c21e1fc
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