Instructions to use AnonymousCS/populism_classifier_bsample_137 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_137 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_137")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_137") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_137", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4d9f6eca3194813b86e556606da417a5f8ce00d204ad366355592eb6fff62a9
- Size of remote file:
- 711 MB
- SHA256:
- a8bbf17cb74342ffe75ad5d7862a32698ee202f3d5dda5127943eb9a3d119e90
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