Instructions to use AnonymousCS/populism_classifier_bsample_012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_012")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_012") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f5cf253e527a2fef73e71823a1b9848e640601d20389d84b881343bd768ed70
- Size of remote file:
- 5.43 kB
- SHA256:
- 74587d93738f75aa1d1577d432bc7ce3ad744a45e7d2cd605c61ec4c997fe5c5
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