Instructions to use AnonymousCS/populism_classifier_bsample_145 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_145 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_145")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_145") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_145", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27094e9e2d8f0dc6cd5418abb5277bebcfe189963b1bf9ae6d57b954c7e30948
- Size of remote file:
- 711 MB
- SHA256:
- 20614b7553ad0e89e1d90cec543b3db2635a734b68b79f17061c4352586b92a2
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