Instructions to use AnonymousCS/populism_classifier_bsample_351 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_351 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_351")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_351") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_351", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fbb5c241026b6761e2c4b867f29f38335b5cf17d2d6b84cf459b067448d5cbf
- Size of remote file:
- 5.43 kB
- SHA256:
- 4f29fca0b991f0403636914415a75a5088c509f4001cdff1619e05bdd3c00c9f
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