Instructions to use AnonymousCS/populism_classifier_bsample_146 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_146 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_146")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_146") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_146", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7f9ee31df3d3e8ceda3abda1667f9810d739074887a73131c04e36577952039
- Size of remote file:
- 711 MB
- SHA256:
- 0383f88766c8eac354b20fdc24af046ea776baf8c98f46e062becb010e9413f6
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