Instructions to use AnonymousCS/populism_classifier_bsample_324 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_324 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_324")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_324") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_324", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63aa5a628ae7bd337a31d986bdf5606df6e8029518e263f4fe3d49faba538a96
- Size of remote file:
- 5.43 kB
- SHA256:
- 2e8d6435aa91d1a9c60c5cd8fb7ab592b62181398edbf42c22dbfb1cf13591ee
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