Instructions to use AnonymousCS/populism_classifier_bsample_011 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_011 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_011")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_011") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_011", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a18c74074d1f6a54eafc9781d548d9439daab4f232785c3031782a5df1af5d5b
- Size of remote file:
- 711 MB
- SHA256:
- b1f5ee3207c4c294740daf1500ec5ed83f674db9e2bfda07e26e9b0ea4096f47
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