Instructions to use AnonymousCS/populism_classifier_bsample_022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_022")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_022") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a9f245c404765c3c7dcde701a2afc51460a64239d4d18e137ad13e16b4fc7e9
- Size of remote file:
- 5.43 kB
- SHA256:
- 884a3c8b4a89551c700d0e8fe61524d0f367ae5e8cdd4bd081cdd01410a48e66
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