Instructions to use AnonymousCS/populism_classifier_bsample_019 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_019 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_019")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_019") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_019", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97f6284ae554fb6d60a9d45914f0c91907f72027212601d0141556e2ffb19452
- Size of remote file:
- 711 MB
- SHA256:
- 3fd3b30d9abaff5f5f78bd0ae76005624fb587483c92cf4374330b9e29c899fc
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