Instructions to use AnonymousCS/populism_classifier_bsample_318 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_318 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_318")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_318") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_318", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df26a987c45fb867c7a7f895271ad347c8e03f84ac17e69fb5902f8077f0e8df
- Size of remote file:
- 5.43 kB
- SHA256:
- 4038a73066df60932860d0edf894d99373bd9df620ca494f3d331af7174377bf
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