Instructions to use AnonymousCS/populism_classifier_bsample_398 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_398 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_398")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_398") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_398") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b85c0e57e7cb546104b0d1792c55b69e742d797958763455fc87d1eee8bdba16
- Size of remote file:
- 5.43 kB
- SHA256:
- 4fb86a3cae8bfa0c5513051c84971e1104dfa41fcbdb7ac0b70082dc2ebc9ae3
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