Instructions to use AnonymousCS/populism_classifier_331 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_331 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_331")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_331") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_331", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbab3d1963abcd480245d9b36fea1d3816675402e48ebcff0decebeb908c7c06
- Size of remote file:
- 1.33 GB
- SHA256:
- 7e83f58ad52fb38748107dccb70b9b7f21e0e7569c4c228e3d3b503a460a8531
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