Instructions to use AnonymousCS/populism_classifier_bsample_360 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_360 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_360")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_360") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_360", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f1ae5df78ed488eb8681422e15324d0aa707f4f257c87f8a53eb0a660e8646e
- Size of remote file:
- 438 MB
- SHA256:
- 5a3bb3e2c42295fea78357e7cb8973a854e7d626f5a90f8013d183eec6e532d4
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