Instructions to use AnonymousCS/populism_classifier_bsample_147 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_147 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_147")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_147") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_147", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29414d84766cf8b823e2d26ea7f3b2a852a6bdf8376a1f46a36ec7cbabbe74c1
- Size of remote file:
- 711 MB
- SHA256:
- 1e8f72e609857e0679944be719253640c56baf0b85389a74d095882f3ac34d1a
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