Instructions to use AnonymousCS/populism_classifier_bsample_039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_039 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_039")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_039") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_039") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a11dffbce75e8ee6642cc8201948c92400f372da4b651a85991e7eacf95027f7
- Size of remote file:
- 669 MB
- SHA256:
- 6796db051e2cfba72e80dcd79f71c445f9d4ebeb13a0778c40b9823a760687db
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