Instructions to use AnonymousCS/populism_classifier_bsample_138 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_138 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_138")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_138") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_138", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3643f620ec2a79f9f1b390d83edabaa9f970632ab6ca34d83f7b7db904b110f3
- Size of remote file:
- 711 MB
- SHA256:
- 41dc4004516897161adc4e1860bb23c98d647cd842cd5fde6ae1bb29a9f0237b
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