Instructions to use AnonymousCS/populism_classifier_bsample_389 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_389 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_389")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_389") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_389", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 918bee93759ff97a35e94b1789f919491683f1519b234a044ff581dd6a834be2
- Size of remote file:
- 1.34 GB
- SHA256:
- 7a100f32e69f9b42470c5beb173a90656b9f1e800f1e093ab60d00db00e73dba
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