Instructions to use AnonymousCS/populism_classifier_bsample_042 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_042 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_042")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_042") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_042", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e11cb1e620f64418928f60a0d0462272cea0c465e5f8b621e32f8850efac4f6
- Size of remote file:
- 669 MB
- SHA256:
- 843209594ee2c720f10595b835ad21286a9b23bcdbb6c60c10c08472e3ed77fd
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