Instructions to use AnonymousCS/populism_classifier_bsample_329 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_329 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_329")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_329") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_329", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 107f994a4928fa0e374d9c97511ab077fd0e9b30bf33ed25b759c9e940be5968
- Size of remote file:
- 5.43 kB
- SHA256:
- cd3e965646cd32186fd0636036a44598e821970181561af1d02215fe1820ed9a
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