Instructions to use AnonymousCS/populism_classifier_bsample_308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_308 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_308")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_308") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_308", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba7add3183acf8fe97b7b038913f77a1a16587958e98385120fd3e33346b38eb
- Size of remote file:
- 433 MB
- SHA256:
- 47fd00501e9f984f72c067bde5b0da738f74a8e98154d52fe62ffd2f98c6f8e3
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