Instructions to use AnonymousCS/populism_classifier_bsample_310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_310 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_310")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_310") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_310", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ab88e1d7335b15f2498cd8639935d5e31f633886236b878f8790aab44cf29ea
- Size of remote file:
- 5.43 kB
- SHA256:
- ccd92421a89421f618cc811e6a49e6ba75128c3441aa9d36dc29b3c732a14943
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