Instructions to use AnonymousCS/populism_classifier_bsample_369 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_369 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_369")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_369") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_369", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f08bd6920b37b12bd350b4967383bbab8037d2ac9b913e958bd3cf5dbcebd4b
- Size of remote file:
- 1.34 GB
- SHA256:
- 477b9f3e17aea0551e8c28bdc3a2f2063e1d21a4e87e6634e1e1bd2a25a2674a
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