Instructions to use AnonymousCS/populism_classifier_bsample_304 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_304 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_304")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_304") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_304", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50bb46faf9f4d071329c461bd8612c1ac38a82181a305a23b996b0589fcb6f91
- Size of remote file:
- 5.43 kB
- SHA256:
- 2791f45ae93cc5827e43a475f8915168825a7388c799955516e613e80691788b
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